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Original Article
Need for Cognitive Closure and
Political Ideology
Predicting Pro-Environmental Preferences and Behavior
Angelo Panno,1 Giuseppe Carrus,1 Ambra Brizi,2 Fridanna
Maricchiolo,1
Mauro Giacomantonio,2 and Lucia Mannetti2
1Department of Education, Experimental Psychology
Laboratory, Roma Tre University, Roma, Italy
2Department of Social & Developmental Psychology, Sapienza
University of Rome, Rome, Italy
Abstract: Little is known about epistemic motivations affecting
political ideology when people make environmental decisions.
In two studies,
we examined the key role that political ideology played in the
relationship between need for cognitive closure (NCC) and self-
reported eco-
friendly behavior. Study 1: 279 participants completed the NCC,
pro-environmental, and political ideology measures. Mediation
analyses
showed that NCC was related to less pro-environmental
behavior through more right-wing political ideology. Study 2:
We replicated these
results with a nonstudent sample (n = 240) and both social and
economic conservatism as mediators. The results of Study 2
showed that
social conservatism mediated the relationship between NCC and
pro-environmental behavior. Finally, NCC was associated with
pro-
environmental attitude through both social and economic
conservatism.
Keywords: need for cognitive closure, political ideology, pro-
environmental behavior, environmental attitude, conservatism,
cognition
Ecosystems are under pressure worldwide due to global
phenomena and environmental changes such as global
warming, biodiversity loss, depletion of fresh water, and
population growth. Understanding how individuals react
to the environmental crisis and take a position regarding
environmental conservation policies is, therefore, a crucial
challenge for the current political, scientific, and environ-
mental agenda. To tackle the urgency of current environ-
mental global issues adequately, there is widespread
scientific and political consensus that individuals, groups,
and communities must reduce their environmental foot-
print in the very near term (e.g., Brewer & Stern, 2005;
Schultz & Kaiser, 2012). What is needed at the individ-
ual and societal level is, therefore, an increase in ecologi-
cally responsible behavior (e.g., Clayton & Myers, 2015;
Turaga, Howarth, & Borsuk, 2010). Empirical studies on
the antecedents of pro-environmental behavior and climate
change perception have outlined the role of several predic-
tors, including political ideology as well as some proxy of
conservative ideology such as social dominance (e.g.,
Carrus, Panno, & Leone, in press; Hoffarth & Hodson,
2016; Milfont, Richter, Sibley, Wilson, & Fischer, 2013;
Panno et al., 2018). To better understand the relation
between political ideology and environmentalism individ-
ual differences related to epistemic motivation should be
considered. The main aim of the present study is to exam-
ine the relationship between people’s need for cognitive
closure (NCC; Webster & Kruglanski, 1994) and eco-
friendly behavior, as well as the key role that political
ideology may play in this relationship. In the following
sections, we briefly discuss recent literature findings con-
necting political ideology to pro-environmental behavior
on the one hand, and connecting NCC to political ideology,
on the other hand.
Political Ideology and Pro-Environmental
Behavior
Many findings converge to show that a left-wing or liberal
political ideology is positively linked to pro-environmental
behavior, while a right-wing or conservative orientation is
negatively linked to it (e.g., Carrus et al., in press; Dunlap
& McCright, 2008; Neumayer, 2004; Zia, & Todd, 2010,
Panno, Carrus, Maricchiolo, & Mannetti, 2015). More
specifically, a number of studies have shown that liberals
have a stronger environmental concern than conserva-
tives. For example, liberals show stronger support for pro-
environmental legislation and regulation (Allen, Castano,
& Allen, 2007; Cottrell, 2003; Dietz, Stern, & Guagnano,
� 2018 Hogrefe Publishing Social Psychology (2018), 49(2),
103–112
https://doi.org/10.1027/1864-9335/a000333
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1998; Dunlap & Van Liere, 1984), and show greater con-
cern for global climate change (e.g., Carrus et al., in press;
Dunlap & McCright, 2008; Neumayer, 2004; Zia & Todd,
2010; Panno et al., 2015).
Earlier studies hypothesized some reasons for this
(e.g., Dunlap, 1975). Conservatives support business and
industry that do not usually support environmental reform.
In addition, conservatives might often oppose environ-
mental reform because they entail an extension of govern-
ment activities and regulations over individual will and
actions (Dunlap, 1975; Van Liere & Dunlap, 1981; Howell
& Laska, 1992; Gamba & Oskamp, 1994). On the other
hand, environmentalism usually entails the promotion of
environmental justice, rejection of discrimination against
vulnerable groups, and holds concern for the welfare of
future generations and nonhuman species, along with
the preservation of the natural landscape (Forgas &
Jolliffe, 1994; Sabbagh, 2005). These values are more
characteristic of a liberal, rather than a conservative,
ideology, which supports an industrial and capitalist social
order, and shows resistance to massive societal changes
that alter the status quo (McCright & Dunlap, 2010).
Despite the consistency of these findings, not enough
attention has been paid to the psychological ante-
cedents of political ideology, to explain their role as key
predictors of pro-environmental behavior through people’s
ideologies.
Need for Cognitive Closure and Political
Ideology
The need for cognitive closure (NCC) represents a person-
ality disposition that encompasses individual differences in
information processing (Webster & Kruglanski, 1994; see
Roets, Kruglanski, Kossowska, Pierro, & Hong, 2015, for a
recent review). It has been defined as people’s desire for a
firm answer to a question, any firm answer, as opposed
to confusion and/or ambiguity (Kruglanski, 2004, p. 6).
Thus, it can be considered a psychological need to limit
ambiguity and to intrinsically find ambiguous situa-
tions unpleasant (Roets & Van Hiel, 2011b; Webster &
Kruglanski, 1994). In fact, people showing a stronger ten-
dency for chronic use of NCC prefer order, predictability,
avoid uncertainty, and they are close-minded, as well as
intolerant of ambiguity (e.g., Dhont, Roets, & Van Hiel,
2011; Kruglanski, 1989; Kruglanski & Webster, 1996;
Roets & Van Hiel, 2011a, 2011b). The NCC represents a
motivational disposition making people reluctant to
accept information inconsistent with their beliefs and
opinions. Accordingly, individuals feel stressed when this
inconsistency occurs (e.g., Roets & Van Hiel, 2008).
For the reasons discussed above, NCC is generally consid-
ered a factor that heavily affects individuals’ epistemic
motivation, that is, the willingness to hold a rich and accu-
rate view of the world (Kruglanski, 1989).
Since the mid-1990s, the NCC has been studied exten-
sively, examining its impact on individual, interpersonal,
and group processes (Roets et al., 2015). One of the most
interesting theoretical developments, among the many
derived from NCC theory, is the motivated social cognition
model proposed by Jost, Glaser, Kruglanski, and Sulloway
(2003), that focuses on the relationship between cognitive
functioning and conservative beliefs. According to this
model, people who avoid uncertain situations and are risk
averse find conservative ideologies appealing because
they preserve the status quo (Jost et al., 2003, 2007).
Jost and colleagues (2003) proposed the need for closure
as a motivated cognitive factor that provides a conceptual
link to conservative ideology. Many studies have indeed
found a relation between NCC and a right-wing political
ideology (e.g., Chirumbolo, Areni, & Sensales, 2004;
Kemmelmeier, 1997; Ksiazkiewicz, Ludeke, & Krueger,
2016; Onraet, Van Hiel, Roets, & Cornelis, 2011). The
pioneering genetic study by Ksiazkiewicz et al. (2016) also
demonstrated that individuals’ NCC can be heritable. Their
work supports previous research positing that personality
dispositions emerge very early in life, while political atti-
tudes are not particularly coherent at early ages, then begin
to emerge in adolescence and grow in stability up through
early adulthood (e.g., Hatemi et al., 2009; Jennings &
Markus, 1984; Jennings, Stoker, & Bowers, 2009; McCrae
et al., 2000; Sears & Funk, 1999). In sum, this suggests
that NCC is a precursor of right-wing political ideology
rather than the other way round. With regard to the present
studies, Chirumbolo and colleagues (2004) found that high
NCC individuals (vs. low NCC) showed a right-wing
political affiliation in the Italian context. Moreover,
closed-minded people exhibited a preference for autocratic
leadership and centralized forms of political power, as
well as stronger antiimmigrant attitudes and nationalism.
In sum, several authors have claimed that various motives
drive people’s worldviews, including epistemic motives to
manage complexity, reduce uncertainty, and address
ambiguity, which are captured, in large part, by cognitive
style such as the NCC (e.g., Jost et al., 2003; Kruglanski
& Webster, 1996; Ksiazkiewicz et al., 2016; Roets et al.,
2015). We build upon this approach to investigate the
relationships between NCC, political ideology, and pro-
environmental behavior. In the following section, we
discuss recent studies that suggest a connection between
epistemic motivation and eco-friendly behavior (i.e.,
Barbaro, Pickett, & Parkhill, 2015; Nisbet, Hart, Myers, &
Ellithorpe, 2013).
Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe
Publishing
104 A. Panno et al., Need for Closure and Pro-Environmental
Behavior
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Epistemic Motivation and Eco-Friendly
Attitude
To the best of our knowledge, there are only two studies
relating other variables that are typically associated with
epistemic motivation to an eco-friendly attitude. In the first
(Nisbet et al., 2013), people’s open-/closed-mindedness has
been shown to moderate the effects of competitive (i.e.,
including arguments in favor and against a climate change
mitigation policy) versus noncompetitive (i.e., including only
arguments in favor of such a policy) messages on the
perceived costs and benefits of government climate policies.
Results of this study showed that especially for open-
rather than closed-minded individuals, viewing the compet-
itive message resulted in a favorable cost-benefit calculus,
leading to increased support for climate change mitigation
policy. These results are interesting for communication
campaigns dealing with climate change phenomena, but
say little about the relationship between NCC and pro-
environmental behavior itself, as well as the role that
people’s political ideology plays in this relationship.
Other work (Barbaro et al., 2015) examined the impact of
need for cognition, which reflects the extent to which one
actively seeks information and enjoys critical thinking, on
pro-environmental goal choice. Barbaro and colleagues’
results showed that need for cognition has a positive impact
on pro-environmental goal choice through environmental
attitude. Need for cognition is theoretically distinct from
NCC, as it represents an individual orientation toward a
certain type of mental process (i.e., systematic, effortful cog-
nition) aimed at forming beliefs regardless of their content,
whereas the need for cognitive closure is considered an ori-
entation toward reaching a stable conclusion with minimal
ambiguity, which may require heuristic processing in some
situations and systematic processing in others (Jost et al.,
2003; Kruglanski & Webster, 1996; Roets et al., 2015). For
researchers, these differences give rise to different mecha-
nisms underlying people’s behavior and deserve to be exam-
ined separately (e.g., Kruglanski & Webster, 1996; Roets
et al., 2015). Taken together, the results of these studies
(i.e., Barbaro et al., 2015; Nisbet et al., 2013) represent a first
attempt to shed light on the relationship between epistemic
motivations and the pro-environmental domain. Nonethe-
less, Nisbet et al. (2013) focused on the relationship between
a facet of NCC and climate change policies but they did not
use a measure of pro-environmental behavior. On the other
hand, Barbaro et al. (2015) used a pro-environmental
attitude measure but focusing on the construct of need for
cognition. Thus, to the best of our knowledge, there are no
studies investigating these relationships using either a
measure of NCC or measures of pro-environmental prefer-
ences and behavior. The current research sought to fill such
a gap (see below for more details).
The Present Study
Social and political psychology have provided theoretical
arguments and coherent empirical results suggesting that
an epistemic motivation, such as the NCC, can be a relevant
psychological antecedent of conservative ideology and right-
wing political orientation (see Ksiazkiewicz et al., 2016, for
more details). As shown through environmental psychology,
these political beliefs have been frequently identified as
proximal factors of an antienvironmental stance, linked to
individual and group reactions such as denial of climate
change, opposition to environmental conservation policies,
and reluctance to undertake behavioral and lifestyle changes
that go in the direction of a reduced environmental footprint
(e.g., Hoffarth & Hodson, 2016). Taken together these lines
of research suggest that a potential link between NCC and
pro-environmental preferences and behavior could be
explained through political ideology. The theoretical account
behind the hypotheses of the present research is that high
NCC individuals encompass a conservative political stance,
which does not pay attention to environmental policies, and
in turn, such a stance reflects the way they behave. In other
words, these individuals are averse to change, and accord-
ingly, they might envisage certain behavioral changes (e.g.,
pro-environmental preferences and behavior) as a deviation
from the status quo. Moreover, such behavioral changes
might also be seen as possible factors in the undermin-
ing of conservative policies supporting the status quo.
Thus, drawing on social and environmental psychological
research, in the current work, we present two studies testing
the following hypotheses: first, we expected that disposi-
tional NCC is related to pro-environmental preferences
and behavior through people’s political ideology (Study 1).
Specifically, we hypothesized that individuals showing a
higher NCC would also report a conservative political ideol-
ogy, which in turn, is negatively related to pro-environmental
preferences and behavior. Second, we expected that the
social dimension of political ideology, and not the economic
dimension, would mediate the relationship between NCC
and pro-environmental preferences and behavior (Study 2).
Study 1
Method
Participants and Procedure
Two hundred and seventy-nine undergraduate students at
two university campuses participated in the study (Mage =
22.95; SD = 2.48; range = 19–31 years; 60% women). The
aim of collecting data across two university campuses
including different faculties (i.e., Psychology, Engineering,
Educational Studies, Economics and Business, Law) was
� 2018 Hogrefe Publishing Social Psychology (2018), 49(2),
103–112
A. Panno et al., Need for Closure and Pro-Environmental
Behavior 105
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twofold. First, this procedure allowed us to recruit partici-
pants with political ideologies ranging between liberal and
conservative. Second, recruiting participants across differ-
ent faculties of these two university campuses helped to
better balance gender. The questionnaires were adminis-
tered in public areas of the campuses and took about
15 min to complete. Data were collected through an online
questionnaire administered by trained assistants. Partici-
pants individually completed the questionnaire on a laptop.
They were assured the anonymity of their responses. The
online survey included demographic information, the need
for cognitive closure scale, political ideology, and pro-
environmental measures, and other scales unrelated to
the goals of the current study (i.e., regulatory focus, trait
emotional intelligence, and empathy).
Measures
The Need for Closure was measured using the Italian NCC
version developed by Pierro and Kruglanski (2005). The
scale is composed of 14 items that loaded on singular factor
score. Responses to the items were rated on a 5-point scale
ranging from 1 (= strongly disagree) to 5 (= strongly agree),
with higher scores indicating a greater need to attain cogni-
tive closure. In this sample, the internal consistency was
.76. To measure pro-environmental preferences and behav-
ior, we used 17 items measuring people’s tendency to
endorse pro-environmental preferences and behavior (e.g.,
recycle paper, plastic, and metal, see the Electronic Supple-
mentary Material ESM 1 for an overview of these items).
Some items were borrowed and adapted from the Student
Environmental Behavior Scale (Markowitz, Goldberg,
Ashton, & Lee, 2012). This measure assesses eco-friendly
activities that people adopt in order to reduce their ecolog-
ical footprint. A composite score of these 17 items indicated
participants’ pro-environmental preferences and behavior.
The internal consistency of this measure in this sample
was α = .72. Ratings were made on a 5-point Likert
type scale, with the response anchored at the ends with
1 (= strongly disagree) and 5 (= strongly agree). Self-placement
on the left-right (liberal-conservative) dimension was
measured by the following item: “Considering the current
political context in Italy, how would you describe your
political orientation?” A 5-point scale was used (1 = left,
2 = center-left, 3 = center, 4 = center-right, and 5 = right).
Results
The zero-order correlations between need for cog-
nitive closure, political ideology, and pro-environmental
preferences and behavior are presented in Table S1 of
ESM 1.
To investigate our hypotheses of the relationships
between need for cognitive closure, political ideology, and
pro-environmental preferences and behavior, we used
regression analyses in which we control for gender and
university campus. Gender is known to be related to pro-
environmental behavior (e.g., Panno et al., 2015; Unanue,
Vignoles, Dittmar, & Vansteenkiste, 2016). Students at dif-
ferent campuses could differ in relevant variables, thus it is
important to control for these variables as well. The results
of these analyses are presented in Figure 1. In a regression
model controlling for gender and university campus, the
relationship between NCC and political ideology was posi-
tive, β = .15, p < .05; Bunstandardized = .03, 95% CI [.006,
.046], meaning that people high in NCC had a more
right-wing political ideology. In this regression model hav-
ing political ideology as the outcome variable, gender and
university campus were found to have nonsignificant
effects, p = .244 and p = .626, respectively. In a similar
regression model with pro-environmental preferences and
behavior as the outcome variable, the relationship between
NCC and pro-environmental preferences and behavior was
negative and marginally significant, β = �.11, p = .061;
Bunstandardized = �.13, 95% CI [�.267, .007]. When we
added political ideology as a predictor to this model, polit-
ical ideology had a negative relationship with pro-environ-
mental preferences and behavior (β = �.18, p < .01;
Bunstandardized = �1.27, 95% CI [�2.077, �0.468]) and the
Bunstandardized coefficient for NCC dropped from �.13 to
�.10 (see Figure 1 for more details). In line with previous
studies (e.g., Panno et al., 2015; Unanue et al., 2016), we
found a significant effect of gender on pro-environmental
preferences and behavior (β = �.19, p < .01; Bunstandardized
= �3.53, 95% CI [�5.67, �1.39]), with men being less envi-
ronmentally oriented than women. The university campus
was found to have a nonsignificant effect (p = .414).
To understand the mechanisms underlying the relation-
ships between need for closure, political ideology, and
pro-environmental preferences and behavior, we used the
PROCESS macro for SPSS (Hayes, 2013), which tested
our mediation hypothesis. The mediation model was esti-
mated to derive the total, direct, and indirect associations
of need for closure with pro-environmental preferences
and behavior through political ideology. Since participants’
gender and/or university campus could influence the rela-
tionships investigated, we therefore tested a mediation
model that included gender (women coded as 1 and
men coded as 2) and university campus as covariates
1 Hayes and other authors (e.g., MacKinnon, Krull, &
Lockwood, 2000) recommend that “researchers not require a
significant total effect before
proceeding with tests of indirect effects. A failure to test for
indirect effects in the absence of a total effect can lead to you
miss some potentially
interesting, important, or useful mechanisms by which X exerts
some kind of effect on Y” (Hayes, 2009, p. 414).
Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe
Publishing
106 A. Panno et al., Need for Closure and Pro-Environmental
Behavior
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(see Hayes, 2013, for this procedure). We estimated the
indirect effect of need for closure on pro-environmental
preferences and behavior, quantified as the product of the
OLS regression coefficient estimating political ideology
from need for closure controlling for covariates (path a in
Figure 1, and the OLS regression coefficient estimating
pro-environmental preferences and behavior from political
ideology, controlling for need for closure, as well as covari-
ates (path b in Figure 1). Using the PROCESS macro with
5,000 bootstrap samples, our results revealed a signifi-
cant negative indirect effect of need for closure on pro-
environmental preferences and behavior through political
ideology (point estimate = �0.033; 95% CI [�0.076,
�0.008]). As gender was related to pro-environmental
preferences and behavior, we tested a further model includ-
ing participants’ gender and need for cognitive closure as
the independent variables of the mediation model (political
ideology = mediator; pro-environmental preferences and
behavior = dependent variable; university campus = covari-
ate) in order to understand whether gender was also related
to pro-environmental preferences and behavior through
political ideology. We did not find a significant association
of gender with pro-environmental preferences and behavior
through political ideology (point estimate = �0.242; 95% CI
[�0.864, 0.127]). These results will be discussed together
with the results from Study 2.
Study 2
Study 1 showed that NCC is related to pro-environmental
preferences and behavior through a general measure of
political ideology. Study 2 included two dimensions of polit-
ical ideology (i.e., social and economic dimensions) to rule
out the possibility that a general measure of the political
ideology might mask a specific indirect effect of one of
these dimensions. Moreover, in Study 2, we measured
pro-environmental attitude as well as pro-environmental
behavior through two reliable and standardized measures
(i.e., The environmental attitude inventory, Milfont &
Duckitt, 2010; General ecological behavior, Kaiser, 1998)
in order to test our hypothesized model for both of these
outcomes separately. More specifically, in continuity with
the previous study, we used a measure to assess rather con-
crete, daily pro-environmental preferences and behavior,
but we also added a new scale tapping more into the gen-
eral attitude toward the environment and the importance
of its preservation. This adds a new perspective and new
information, since concrete behavioral tendencies tend to
be affected to a great extent by contextual constraints
(e.g., rules, habits, influence of peers) which could be very
influential (especially) for high need for closure individuals.
General attitude, in contrast, is more likely to reflect a
stance toward environmental issues that will be less likely
affected by contextual factors. Finally, to rule out possible
alternative explanations based on sampling artifacts, the
second study was conducted using a nonstudent sample.
Method
Participants and Procedure
Two hundred and forty participants from the United States
were recruited through Mechanical Turk (MTurk) for this
purpose (Mage = 36.80; SD = 11.20; range = 19–74 years;
50% women).
Participants completed a brief questionnaire on Amazon.
com’s Mechanical Turk online survey program. According
to Buhrmester, Kwang, and Gosling (2011), MTurk partici-
pants are significantly more diverse than typical college
samples; realistic compensation rates do not affect data
quality; the data obtained are at least as reliable as those
obtained via traditional methods. The online survey
included demographic information as well as the following
questionnaires.
a = .03*; SE = .01
Political Ideology
Pro-Environme ntal
Preferences/Behavior
c' = -.10; SE = .07
Need for Cognitive Closure
c = -.13†; SE = .07
b = -1.27**; SE = .41
Figure 1. Path coefficients for
mediation analysis in Study 1.
Dotted line denotes the effect of
need for cognitive closure on pro-
environmental behavior, when polit-
ical ideology is not included as a
mediator. a, b, c, and c0 are unstan-
dardized OLS regression coeffi-
cients. †p = .06; *p < .05; **p < .01.
� 2018 Hogrefe Publishing Social Psychology (2018), 49(2),
103–112
A. Panno et al., Need for Closure and Pro-Environmental
Behavior 107
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Measures
Need for Closure
The Need for Closure was measured with the short version
scale developed by Roets and Van Hiel (2011b). The scale
constitutes a 15-item measure in which these items load
in a singular factor score (e.g., “I don’t like situations that
are uncertain”; “I dislike questions which could be
answered in many different ways”). Responses to items
were rated on a 5-point scale ranging from 1 (= strongly dis-
agree) to 5 (= strongly agree), with higher scores indicating a
greater need to attain cognitive closure (α = .91; M = 3.49,
SD = 0.76).
Pro-Environmental Attitude
We measured pro-environmental attitude through the
Environmental Attitudes Inventory (EAI – 24 items form;
Milfont & Duckitt, 2010; see ESM 1, for an overview of
these items). Sample items include: “Humans are severely
abusing the environment.” A composite score of these
24 items indicated participants’ pro-environmental attitude.
Ratings were made on a 5-point Likert type scale, with the
response anchored at the ends with 1 (= strongly disagree)
and 5 (= strongly agree) (α = .88; M = 3.46, SD = 0.64).
Pro-Environmental Preferences and Behavior
We measured pro-environmental preferences and behavior
through General Ecological Behavior scale (GEB; Kaiser,
1998). It is a 38-item scale that is able to measure ecological
behavior across cultures (Kaiser, 1998). As this measure
contains eight items referring to general prosocial behavior
(e.g., Sometimes I give change to panhandlers) then, to rule
out potential confounding factors, we excluded such items
from analyses (see ESM 1, for an overview of the items
used). We computed a composite score of these 30 items
indicating participants’ pro-environmental preferences and
behavior (e.g., “I bring empty bottles to a recycling bin,”
“I prefer to shower rather than to take a bath,” “Usually
I do not drive my automobile in the city,” “In the winter,
I keep the heat on so that I do not have to wear a sweater”;
see ESM 1). Ratings were made on a 5-point Likert type
scale, with the response anchored at the ends with
1 (= strongly disagree) and 5 (= strongly agree) (α = .79; M =
3.05, SD = 0.51).
Economic and Social Political Ideology
These were assessed using economic and social items
(Federico, Ergun, & Hunt, 2014). Participants responded
to the following items: “How would you describe your
political outlook with regard to economic issues?” and “How
would you describe your political outlook with regard to
social issues?” (M = 2.91, SD = 1.20, and M = 2.51, SD =
1.18, respectively; see Federico et al., 2014, for a similar
procedure). Ratings were made on a 5-point scale ranging
from 1 (= strongly liberal) to 5 (= strongly conservative), so
higher responses to both indicated greater conservatism.
Results
To investigate the relationships between need for cognitive
closure, social and economic dimensions of political ideol-
ogy, as well as pro-environmental outcomes, we computed
zero-order correlations among these variables (see Table S2
in ESM 1). A strong need for closure was significantly and
positively related to both dimensions of conservative polit-
ical ideology. By contrast, a strong need for closure was
significantly and negatively associated with pro-environ-
mental behavior, only. No significant association between
need for closure and pro-environmental attitude emerged.
Our results also showed that pro-environmental attitude
and behavior were significantly and negatively related to
both dimensions of conservative political ideology. Finally,
these results showed that pro-environmental attitude
and behavior were significantly and positively correlated
with each other (see Table S2 in ESM 1 for descriptive
statistics).
To test our hypotheses concerning the relationships
between NCC, political ideology and pro-environmental
outcomes, we used the PROCESS macro for SPSS (Hayes,
2013), which simultaneously tested the role of both social
and economic dimensions of political ideology as media-
tors. Such models included as outcomes the measures of
pro-environmental preferences and behavior (i.e., Model
1) and pro-environmental attitude (i.e., Model 2), respec-
tively. Moreover, these models included gender (coded as
in Study 1, see above) as a covariate. Mediating analyses
of Model 1 revealed significant indirect effects of the
NCC on pro-environmental preferences and behavior
through social conservatism (point estimate = �0.082, BC
95% CI [�0.164, �0.027]). By contrast, the economic
dimension of the political ideology did not show a mediat-
ing effect between NCC and pro-environmental prefer-
ences and behavior (point estimate = �0.029, BC 95%
CI [�0.092, 0.005]; see Table 1). These results replicate
Study 1’s results.
Mediating analyses of the Model 2 revealed significant
indirect effects of the NCC on pro-environmental attitude
through both social (point estimate = �0.118, BC 95% CI
[�0.206, �0.057]) and economic (point estimate =
�0.053, BC 95% CI [�0.124, �0.014]) dimensions of the
political ideology. The effect of NCC on pro-environmental
attitude moves from a negative direction to a positive direc-
tion when controlling for both social and economic dimen-
sions of the political ideology (see Table 1). This finding is
consistent with a suppression pattern. More specifically,
contrary to a typical mediation pattern in which controlling
Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe
Publishing
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for the mediator reduces the magnitude of the association
between the independent and the dependent variables
(IV and DV), a suppression is present when the magnitude
of the association between the IV and DV is stronger after
controlling for the suppressor (MacKinnon et al., 2000).
In other words, the positive direct association between need
for closure and pro-environmental attitude (i.e., c0 coeffi-
cient in Table 1) was apparently suppressed by political
ideology. Gender was nonsignificant in both models (p > .1).
General Discussion
These studies investigate the relationships between need
for closure, political ideology (in its social and economic
dimensions), and pro-environmental outcomes. Taken
together, these results suggest that dispositional NCC is
associated with a conservative political ideology, which in
turn, is related to pro-environmental outcomes. In compar-
ison to earlier studies (e.g., Barbaro et al., 2015; Nisbet
et al., 2013), this study is the first to show a relationship
between need for closure and pro-environmental outcomes
through specific facets of conservative political ideology.
Moreover, these results extend previous research in
the following ways: First, previous research investigating
the relationship between epistemic motivation and pro-
environmental outcomes focused on the need for cognition
(Barbaro et al., 2015) or climate change policies (Nisbet
et al., 2013). To the best of our knowledge, there are no
studies investigating these relationships using either a mea-
sure of NCC or measures of pro-environmental preferences
and behavior. Thus, the current research sought to fill this
gap indicating a relationship between dispositional NCC
and pro-environmental preferences and behavior. Second,
the present studies shed light on a mechanism underlying
this relationship as they identify people’s social conser-
vatism as a key factor playing a mediation role in this
connection. More precisely, Study 1 shows that political
ideology in general mediates the relationship between
NCC and pro-environmental behavior. In Study 2, the rela-
tionship between NCC and pro-environmental behavior
was mediated by social conservatism and not by economic
conservatism. The stronger role of one type of conservatism
over the other should come as no surprise considering that
previous work clearly indicates that NCC is more strongly
associated with social rather than economic conservatism
(Federico et al. 2014).
The fact that the overall mediational model holds
through two reliable and standardized measures of pro-
environmental behavior increases confidence in the belief
that our findings substantiate a broad-spectrum model that
could be highly generalizable to several types of environ-
mental-related outcomes.
It should also be noted that in Study 2 the correlation of
NCC with pro-environmental attitude is nonsignificant
and much weaker than the correlation of NCC with pro-
environmental preferences and behavior. In addition,
whereas the indirect effects of NCC through social and
economic conservatism on pro-environmental attitude are
consistent with the indirect effects for pro-environmental
behavior, the pattern for pro-environmental attitude sug-
gests the presence of a suppression rather than a mediation.
More specifically, when conservatism was controlled for, the
tendency toward a negative association between NCC
and pro-environmental attitude changed direction (but
remained nonsignificant). This suggests, that when social
and economic concerns are ruled out, a positive attitude
toward nature tends to emerge. Speculating on these find-
ings, we suspect that the pro-environmental attitude mea-
sure incorporates both elements that are consistent and
inconsistent with the view endorsed by need for closure
individuals, thus leading to a weak overall effect and to
the aforementioned suppression. For example, high NCC
individuals could be favorable to altering the environ-
ment to support humans’ interests and yet, at the same time,
acknowledge that this constitutes a loss of a heritage that, in
many cases, might be considered a source of identification.
Likewise, closed-minded people might support the preserva-
tion of some natural sites because this would prevent more
chaotic human activities (e.g., water sports on a lake) which
might even increase their concern for order and reduce the
ease of processing that typically characterizes the naturalis-
tic domain (Kaplan & Berman, 2010). These speculations
Table 1. Path coefficients for mediation analyses in Study 2
Political ideology Path coefficients
Dimension – mediator a (SE) b (SE) c (SE) c0 (SE)
Model 1 – Outcome variable Social .03 (.01)*** �2.60 (1.01)*
�.19 (.09)* �.08 (.09)
Pro-environmental preferences and behavior Economic .02
(.01)** �1.52 (1.07) �.19 (.09)* �.08 (.09)
Model 2 – Outcome variable Social .03 (.01)*** �3.76
(0.94)*** �.04 (.08) .12 (.08)
Pro-environmental attitude Economic .02 (.01)** �2.83
(1.00)** �.04 (.08) .12 (.08)
Notes. a = the effect of NCC on respective mediator; b = the
effect of mediators on respective outcome; c = the effect of
NCC on respective outcome, when
mediators are not included; c0 = the effect of NCC on
respective outcome, when mediators are included. a, b, c, and c0
are unstandardized OLS regression
coefficients. *p < .05; **p < .01; ***p < .001.
� 2018 Hogrefe Publishing Social Psychology (2018), 49(2),
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A. Panno et al., Need for Closure and Pro-Environmental
Behavior 109
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are based on weak trends and future studies need to inves-
tigate more directly whether, among high NCC individuals,
some ambivalence actually exists.
Our results are consistent with social psychology
research, that recognizes NCC as a driver of conservative
political ideology because such a factor represents a process
rooted in more basic psychological needs (e.g., Carney, Jost,
Gosling, & Potter, 2008; Jost, Federico, & Napier, 2009).
Broadly speaking, the results of the present research
increase our knowledge, shedding light on antecedents
and consequences of political ideology about a relevant
phenomenon that is garnering the attention of a number
of scholars across different fields of psychological science
(i.e., the reduction of ecological footprint). Up until now,
little attention has been paid to epistemic motivation as a
precursor of pro-environmental behavior, which could
potentially have a broad societal impact (see Bamberg &
Möser, 2007, for a review). The present study offers fruitful
insights into the connections between epistemic motivation
and political ideology in predicting environmentally friendly
activities.
The present research focuses on a dispositional associa-
tion of NCC with pro-environmental behavior through social
conservatism but these associations need to be supported by
further empirical evidence. For example, future research
should use experimental manipulations inducing a situa-
tional effect of NCC on pro-environmental outcomes to
shed light on a possible situational effect of such a factor
on these outcomes. Even so, although the cross-sectional
nature of the studies does not allow causal inferences, our
results provide relevant insights into the relationships
between NCC, social and economic dimensions of political
ideology, as well as pro-environmental outcomes. Further
studies are needed to also explore more extensively whether
and how the impact of the NCC on pro-environmental
behavior itself could be influenced by other personal and/
or situational variables. Although it was beyond the scope
of the present research to investigate all of these aspects,
we could consider some possible additional factors of inter-
est. Some authors (e.g., Onraet et al., 2011; Roets & Van
Hiel, 2011a) have shown that NCC is positively related to
people’s social dominance orientation. From a different line
of research, other authors have shown that the social
dominance orientation is negatively related to pro-
environmental behavior and belief in global climate change
(Carrus et al., in press; Milfont et al., 2013; Panno et al.,
2018). Thus, from a theoretical perspective it could be
interesting to investigate whether social dominance could
represent a further mediator in these relationships.
Our findings also have practical implications for
policy makers who seek to stimulate pro-environmental
behavior. Our research has revealed that there is a
relationship between a dispositional need for closure and
pro-environmental behavior, with social conservatism as a
mediator. One implication of these findings would be that
need for closure can act as a lever for policy makers to stim-
ulate pro-environmental behavior. In fact, policy makers,
taking into account that a significant proportion of people
have a chronically high need for closure, might design
communication campaigns presenting pro-environmental
behavior as the default option, the habitual choice of the
majority of citizens in order to persuade high NCC citizens
to also adopt them. On the other hand, since need for
closure can also be induced by situational factors such as
feelings of uncertainty (e.g., Brizi, Mannetti, & Kruglanski,
2016), time pressure (e.g., De Grada, Kruglanski, Mannetti,
& Pierro, 1999), and cognitive load (e.g., Chirumbolo, Brizi,
Mastandrea, & Mannetti, 2014; Van Hiel & Mervielde,
2002), policy makers could take into account these aspects
in designing social policies and daily life settings that help
to prevent the occurrence of high need for closure.
To conclude, our results increase the knowledge about
the need for cognitive closure theory (e.g., Kruglanski,
2004; Roets et al., 2015; Webster & Kruglanski, 1994)
and are also relevant for research that relies on political ide-
ology in predicting pro-environmental behavior (e.g., Dun-
lap, Xiao, & McCright, 2001; Dunlap & McCright, 2008;
Hoffarth & Hodson, 2016; Mercado-Doménech, Carrus,
Terán-Álvarez-Del-Rey, & Pirchio, 2017). More broadly
speaking, investigations using paradigms that include the
NCC promise novel insight into the connections between
epistemic motivation and pro-environmental behavior
across various fields including social psychology, as well
as environmental research.
Electronic Supplementary Material
The electronic supplementary material is available with the
online version of the article at https://doi.org/10.1027/
1864-9335/a000333
ESM 1. Texts and Tables (.pdf)
Items used to measure pro-environmental preferences and
behavior and attitude in Studies 1 and 2. Means, standard
deviations, and intercorrelations among variables investi-
gated in Studies 1 and 2.
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Kruglanski, A. W. (2004). The psychology of the closed
mindedness.
New York, NY: Psychology Press.
Kruglanski, A. W., & Webster, D. M. (1996). Motivated closing
of
the mind: “Seizing” and” freezing”. Psychological Review, 103,
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Ksiazkiewicz, A., Ludeke, S., & Krueger, R. (2016). The Role
of
cognitive style in the link between genes and political ideology.
Political Psychology. Advance online publication. https://doi.
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MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000).
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Prevention Science, 1, 173–181. https://doi.org/10.1023/
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Markowitz, E. M., Goldberg, L. R., Ashton, M. C., & Lee, K.
(2012).
Profiling the “pro-environmental individual”: A personality
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McCrae, R. R., Costa, P. T. Jr., Ostendorf, F., Angleitner, A.,
Hrebícková, M., Avia, M. D., . . . Smith, P. B. (2000). Nature
over
nurture: Temperament, personality, and life span development.
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McCright, A. M., & Dunlap, R. E. (2010). Anti-reflexivity the
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Mercado-Doménech, S. J., Carrus, G., Terán-Álvarez-Del-Rey,
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Milfont, T. L., & Duckitt, J. (2010). The environmental
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Milfont, T. L., Richter, I., Sibley, C. G., Wilson, M. S., &
Fischer, R.
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Nisbet, E. C., Hart, P. S., Myers, T., & Ellithorpe, M. (2013).
Attitude change in competitive framing environments? Open-/
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Cogni-
tion, 20, 380–408. https://doi.org/10.1521/soco.20.5.380.21124
Van Liere, K. D., & Dunlap, R. E. (1981). Environmental
concern: Does
it make a difference how it's measured? Environment and
Behav-
ior, 13, 651–676. https://doi.org/10.1177/0013916581136001
Webster, D. M., & Kruglanski, A. W. (1994). Individual
differences
in need for cognitive closure. Journal of Personality and
Social Psychology, 67, 1049–1062. https://doi.org/10.1037/
0022-3514.67.6.1049
Zia, A., & Todd, A. M. (2010). Evaluating the effects of
ideology on
public understanding of climate change science: How to
improve communication across ideological divides? Public
Understanding of Science, 19, 743–761. https://doi.org/
10.1177/0963662509357871
Received April 17, 2016
Revision received November 4, 2017
Accepted November 6, 2017
Published online March 15, 2018
Angelo Panno
Department of Education
Roma Tre University
Via Milazzo 11/b
00185 Rome
Italy
[email protected]
Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe
Publishing
112 A. Panno et al., Need for Closure and Pro-Environmental
Behavior
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Running head: INTERSESSION 4 FINAL PROJECT
PROJECTION 1
INTERSESSION 4 FINAL PROJECT PROJECTION
9INTERSESSION 4 FINAL PROJECT PROJECTION
Shalini Kantamneni
Ottawa University
Intersession4 Final Project Projection
Introduction:
In this week we are discussing about which cloud service model
we are going to use for the organization. Assuming that the
users of the software include both the home users and business
users, we are considering the SaaS service model as our cloud
service.
Software as a Service (SaaS) Model:
Before deciding the type of service model, company should
consider the usage of the software by different users. Assuming
that the users use the software once in year and business users
may use four times in a year, we are considering SaaS model.
Some of the core benefits to consider SaaS are:
· Compatibility where all the users have same version of
software
· Global Accessibility
· Patch management and automatic updates
· Ready to use
In this model the users can use the cloud service based on their
usage. This will help the organization to reduce the cost in
developing and maintaining its servers, operating systems,
storage or data storage.
In this service model users can use the application using
different web services. Users can use the both application and
configure the application based on their usage. For business
users SaaS platforms like salesforce.com can be considered as it
helps to avoid development of additional programming for the
business users. This helps the users to use the application
without installing any additional software. Even if the devices
are not working the data will be secured.
While using this service the user should mention if there are
multiple users or the user alone use the service. By providing
the number of users details the components like data storage,
business components etc., can be shared with mentioned
multiple users. The users need not to worry about the
installation of software as the SaaS providers will take care of
it.
The SaaS applications having salesforce.com include Google
Docs for document sharing, Web e-mail systems like Gmail,
Yahoo and Hot mail. This model is useful for the small scale
industries who have very less budget and during collaborating
with multiple projects can use SaaS platform.
References
· Kale, Vivek. Guide to Cloud Computing for Business and
Technology Managers: From Distributed Computing to
Cloudwa.. [VitalSource Bookshelf].
· https://www.fingent.com/blog/cloud-service-models-saas-iaas-
paas-choose-the-right-one-for-your-business
· https://doublehorn.com/saas-paas-and-iaas-understanding/
· https://www.paranet.com/blog/bid/128267/the-three-types-of-
cloud-computing-service-models
· https://www.bluepiit.com/blog/different-types-of-cloud-
computing-service-models/
· https://www.ibm.com/cloud/learn/iaas-paas-saas
Reardon / PSYC 291
Writing up Results – Multiple Regression
1. Indicate what model you tested by saying what the criterion
variable was and what the predictor variables were.
2. Say whether the overall regression was significant. How do
you know this? Look at the p-value associated with the F
statistic in the ANOVA table. Be sure to indicate the F value
(with degrees of freedom), R2, and the associated p-value. You
should also interpret what the value for R2 means (this is not
usually done in results sections but I want you to do it for this
class).
3. Indicate which predictor variables are significant. Be sure to
include the slope (b or Beta but Beta is usually used), the
standard error, and the p-value. Then, interpret the slope. (*This
is not always done in actual results sections but I want you to
do it.) You do not need to mention or interpret predictors that
were not significant.
Example:
A multiple regression tested whether depression score was
predicted by alcohol use, negative life events, and gender. The
overall regression was significant, F(3,112) = 3.24, p < .001, R2
= .23. Together, alcohol use, negative life events and gender
account for about 23% of the variability in depression scores.
Alcohol use significantly predicted depression score, β = .34,
SE = 1.12, p = .023. As alcohol use increased one standard
deviation, depression score increased by .34 standard
deviations, holding negative life events and gender constant.
Gender also significantly predicted depression score, β = -.18,
SE = 0.98, p = .032. Being male was associated with a decrease
in depression score of .18 standard deviations, holding alcohol
use and negative life events constant.
* Notice that the statistics were included in such a way that
even if they are taken out, it is still a complete sentence. Also
notice that the letters are in italics for the reported statistics.
Paper Format
OverviewAbstractIntroductionLiterature
reviewMethodResultsDiscussion
Purpose of PaperPresent & describe new research
findingsFindings should be put in context of current knowledge
Class project
AbstractConcise summary not to exceed 120 wordsShould
includeInformation on the problem under studyThe nature of the
sampleA description of methods, equipment, and proceduresA
statement of the results (broadly, no stats)A statement of the
conclusions drawn
*
IntroductionNeed to review and describe the research that has
already been done on the topic
Should include at least 5 sources
Purposes of Literature ReviewTo fully describe the results from
prior researchWhat is the “state of the knowledge”?
To clearly state the purposes of the studyPurpose is to address
some need
To clearly state the hypotheses, which should follow logically
from the literature review
Literature ReviewBegin with broad introductionState & describe
the problemWhy is this topic theoretically or practically
important?
Introduce the problem or theory
Literature ReviewNext discuss the research - organize by
variable or topic (not by study)Begin by summarizing the entire
literature on that variable/topicPrior research either (1) supports
a clear effect; (2) is mixed; or (3) is non-existent.If there is a
clear effect, what is it?
Current StudyWhat variable(s) are you looking atWhy is this
research needed (not why it is important)Your hypothesis –
what you expect your results to showShould be a separate
hypothesis for each IV in your studyImportant to indicate
(explicitly) why you think that is what will happen – is it based
on what prior research has found?
Research NeedResearch is “needed” if:Variable has never been
investigated beforeVariable has been investigated before,
but…Something was done wrongInconsistent resultsNot in all
contexts (new context, new sample)Not investigated at same
time as another variable
Good HypothesesContain two variablesSpecify values of
measured variable or levels of manipulated variablePredict
whether relationship existsIndicate direction of the
effectPredictive - which value or range of the measured variable
has more or less of the dependent variableCausal - which level
of the independent variable has more or less of the dependent
variable
Organization of Intro
1.unknown
Method SectionPurposeTo explain to the reader exactly how you
conducted your studyOther researchers should be able to
replicate your study based solely on the info provided in this
section
*
Method SectionParticipantsDesignProcedureMaterials and
Measures
* Should include each of these as separate sections
- Use subheadings in italics
*
What to IncludeDescription of participantsHow
manyDemographicsRace, Age, Gender breakdownCompensation
if applicable
ExampleParticipants were 250 undergraduate psychology
students who participated as jurors in return for class credit.
Mock jurors were predominantly Hispanic (54%), followed by
African American (20%), Caucasian (15.2%), Asian (4.8%), and
Other (6%). The mean age of participants was 20.4 years. A
majority of participants (81.2%) were female, with no prior jury
experience (98.4%).
What to IncludeDesignType of designCorrelational /
ExperimentalCorrelational designSpecify variablesExperimental
designBetween/within subjects design# of Independent
variablesLevels of manipulated variablesMention what the DV
is
*
DesignCorrelational designThe design was a correlational
design, examining the relationship between Variable 1 and
Variable 2.
Experimental designThe design was a single factor (IV: level 1
vs. level 2) between-subjects [within-subjects] design.The
design was a single factor (treatment type: new vs. old)
between-subjects design.
DesignFactorial designThe design was a 2 (IV: level 1 vs. level
2) X 3 (IV: level 1 vs. level 2 vs. level 3) between/within
subjects design…
The design was a 2 (testimony: examination only vs.
examination plus videotape) X 2 (ID accuracy: accurate vs.
inaccurate) mixed design with testimony as a between-subjects
factor, and identification accuracy as a within-subjects factor.
What to IncludeProcedureDescription of the experimentWhat
happens?What do your participants do?Be as detailed as
possible – other researchers should be able to replicate your
experiment
* Don’t include details specific to IUP (e.g., experimenter
evaluation sheets), or to you as the experimenter (e.g., tested 5
participants)
What to IncludeMaterials and MeasuresDescription of any
materials usedQuestionnaire – should describe it in this section
ContentNumber of questionsContent of questions (give
examples)Types of questions (open-ended, restricted)Scale, end
points
Results SectionPurpose of this sectionReport your
findingsDescriptive statistics (e.g., Normality) only included if
there were problems with normalityIf that is the case note that
there was a problem and what you did to correct it
Transformations used
*
Results SectionFirst paragraphExplain what you did for data
analysisWhat statistical tests you applied and in what orderNote
that you used SPSS 17 to conduct the analysesMake sure to note
the alpha level you used for inferential tests“All statistical tests
employed an alpha level of .05.”
Results SectionThe dependent variable was analyzed with an
analysis of variance (ANOVA). For all comparisons p < .05 was
adopted as the criterion for establishing statistical significance.
Necessary follow up comparisons were done using Bonferroni.
All statistical analyses were performed with SPSS Version 16.
Results SectionNext, report what you foundUse complete
sentencesIncludedThe effect being evaluated Whether or not
difference between treatment levels was statistically
significantCritical statistic used, Degrees of freedomValue of
obtained statisticLevel of significance achieved
Statistical Notation
Statistical Test Format
Analysis of variance F (1,85) = 5.96, p < .01
Chi-square χ2(3,N = 100) = 11.34, p < .01
t test t (56) = 4.78, p < .01
z test z = 2.04, p < .05
Pearson correlation r = .87 or r = -.87
coefficient
*
Statistical NotationRound means & beta values to 2 decimal
placesGive p values like this:If .000 write p < .001If between
.001 and .009 write p < .01If between .010 and .044 write exact
p value to 2 decimal places (so = .01 to .04)If between .045 and
.050, write p < .05If between .051 and .080, give exact p value
to 3 decimal placesMeans can be given in text or in Table (your
choice)In text easier if few results and they are simple
*
Discussion SectionIn Discussion section, results are interpreted,
conclusions drawn, and findings are related to previous research
Section begins with a brief restatement of hypotheses
Next, indicate if hypotheses were confirmed
Discussion SectionConsider your results & hypotheses in light
of previous research Because your hypotheses come from prior
researchIf your results support your hypothesis, is more
research needed? May some other variable moderate the effect?
Are there different samples or methods to use to study the
effect? Can a firm conclusion be reached?
Discussion SectionIf results are not the same as hypothesized,
suggest a reason why not - reason “can be investigated in future
research”
It is fine to speculate, but make sure speculations are supported
by the data
Discussion SectionPoint out any methodological problems you
may have encountered during the study that could restrain some
of your conclusions
Should discuss real-world implications of the resultsWhat
would be the effect in the real world?Would you suggest that
lawyers, clinicians, employers, parents do something different?
Discussion SectionNeed a part on “Directions for Future
Research”Based on your results what is the next step?Other
relevant variables?, replication in other contexts?
Need a part on “Limitations”Any challenges to internal or
external validity?
Organization of Discussion
2.unknown
Discussion Section
Restatement of hypotheses
(2) Integration of results with prior research
(3) Discussion of real-world implications
(4) Limitations
(5) Directions for future research
Present a general
introduction to your topic
Review relevant
literature
Link literature review to
your hypotheses
State your
hypotheses
Restate your hypotheses
or major finding
Tie your results with
previous research and
theory
State broad implications of
your results, methodological
implications, directions for
future research
Reardon / Spring 2012
Final Paper Grading Sheet
Name:
APA Style
Title page (2)
Headers/ pg # (2)
Font/spacing/ headings (2)
Citations (2)
References (2)
/ 10 points
Abstract
Inclusion of necessary info (3)
Clarity
(2)
/ 5 points
Literature Review
Organization & clarity (5)
Ability to summarize research –
(including appropriate number of sources) (5)
Presentation of research need (1)
Justification of hypothesis (2)
Statement of hypothesis (2)
/ 15 points
Method
Inclusion of necessary sections in correct order (4)
Clarity (3)
Level of detail (5)
Quality of design (3)
/ 15 points
Results
Miscellaneous (alpha level, program used, etc.) (2)
Explanation of test used (4)
Description of result (6)
Complete sentences (3)
Discussion
Short summary of hypothesis (2)
Integration with prior research (5)
Real world implications (3)
Future research (2)
Limitations (3)
/ 15 points
Writing & Grammar
/ 15 points
Total:
/ 90 points
GET
FILE='C:UsersqhtwAppDataLocalPackagesMicrosoft.Micro
softEdge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
(1).sav'.
DATASET NAME DataSet1 WINDOW=FRONT.
GET
FILE='C:UsersqhtwAppDataLocalPackagesMicrosoft.Micro
softEdge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
(3).sav'.
DATASET NAME DataSet2 WINDOW=FRONT.
DATASET ACTIVATE DataSet1.
SET TLook=None Small=0.0001 SUMMARY=None
THREADS=AUTO TFit=Both DIGITGROUPING=No
LEADZERO=No TABLERENDER=light.
SET Small=0.0001 THREADS=AUTO DIGITGROUPING=No
LEADZERO=No.
FREQUENCIES VARIABLES=Gender Race Polit_Party
/ORDER=ANALYSIS.
Frequencies
Notes
Output Created
14-NOV-2019 09:47:36
Comments
Input
Data
C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd
ge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
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Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
96
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on all cases with valid data.
Syntax
FREQUENCIES VARIABLES=Gender Race Polit_Party
/ORDER=ANALYSIS.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.00
[DataSet1]
C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd
ge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
(1).sav
Statistics
Preferred Gender
Race
When it comes to
voting, with which party do you consider yourself to be
affiliated?
N
Valid
94
95
96
Missing
2
1
0
Frequency Table
Preferred Gender
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
Male
26
27.1
27.7
27.7
Female
68
70.8
72.3
100.0
Total
94
97.9
100.0
Missing
System
2
2.1
Total
96
100.0
Race
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
White
79
82.3
83.2
83.2
Black/African American
9
9.4
9.5
92.6
Asian
4
4.2
4.2
96.8
Native Hawaiian or Other Pacific Islander
3
3.1
3.2
100.0
Total
95
99.0
100.0
Missing
System
1
1.0
Total
96
100.0
When it comes to
voting, with which party do you consider yourself to be
affiliated?
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
Strong Democrat
19
19.8
19.8
19.8
Not a very strong Democrat
25
26.0
26.0
45.8
Strong Republican
6
6.3
6.3
52.1
Not a very strong Republican
9
9.4
9.4
61.5
Independent/Unaffiliated
37
38.5
38.5
100.0
Total
96
100.0
100.0
DESCRIPTIVES VARIABLES=Age Political_Leaning
Knowledge_proportion
/STATISTICS=MEAN STDDEV MIN MAX.
Descriptives
Notes
Output Created
14-NOV-2019 09:52:15
Comments
Input
Data
C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd
ge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
(1).sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
96
Missing Value Handling
Definition of Missing
User defined missing values are treated as missing.
Cases Used
All non-missing data are used.
Syntax
DESCRIPTIVES VARIABLES=Age Political_Leaning
Knowledge_proportion
/STATISTICS=MEAN STDDEV MIN MAX.
Resources
Processor Time
00:00:00.00
Elapsed Time
00:00:00.00
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
Age
94
18
53
19.43
3.823
When it comes to most
political issues, do you think of yourself as a...?
95
1
7
3.45
1.420
Environmental knowledge proportion
96
.00
91.67
46.7014
17.99444
Valid N (listwise)
93
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Eviron_attitude1
/METHOD=ENTER Eviron_attitude2 Political_att_general
Environ_Knowl.
Regression
Notes
Output Created
14-NOV-2019 09:59:25
Comments
Input
Data
C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd
ge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
(1).sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
96
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any
variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Eviron_attitude1
/METHOD=ENTER Eviron_attitude2 Political_att_general
Environ_Knowl.
Resources
Processor Time
00:00:00.02
Elapsed Time
00:00:00.02
Memory Required
19184 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
Environmental knowledge, Political attitudes, Environ Attitude
2: Nature is for Humansb
.
Enter
a. Dependent Variable: Environ Attitude 1: Environment is
threatened
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.659a
.434
.413
2.996
a. Predictors: (Constant), Environmental knowledge, Political
attitudes, Environ Attitude 2: Nature is for Humans
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
577.463
3
192.488
21.445
.000b
Residual
753.991
84
8.976
Total
1331.455
87
a. Dependent Variable: Environ Attitude 1: Environment is
threatened
b. Predictors: (Constant), Environmental knowledge, Political
attitudes, Environ Attitude 2: Nature is for Humans
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
28.100
2.409
11.663
.000
Environ Attitude 2: Nature is for Humans
-.397
.081
-.487
-4.919
.000
Political attitudes
-.084
.037
-.211
-2.263
.026
Environmental knowledge
-.227
.158
-.126
-1.432
.156
a. Dependent Variable: Environ Attitude 1: Environment is
threatened
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Environ_Behavior
/METHOD=ENTER Eviron_attitude2 Political_att_general
Environ_Knowl Eviron_attitude1.
Regression
Notes
Output Created
14-NOV-2019 10:15:06
Comments
Input
Data
C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd
ge_8wekyb3d8bbweTempStateDownloadsPSYC 291
Environmental Survey - Fall 2019_November 12, 2019_14.18
(1).sav
Active Dataset
DataSet1
Filter
<none>
Weight
<none>
Split File
<none>
N of Rows in Working Data File
96
Missing Value Handling
Definition of Missing
User-defined missing values are treated as missing.
Cases Used
Statistics are based on cases with no missing values for any
variable used.
Syntax
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT Environ_Behavior
/METHOD=ENTER Eviron_attitude2 Political_att_general
Environ_Knowl Eviron_attitude1.
Resources
Processor Time
00:00:00.03
Elapsed Time
00:00:00.03
Memory Required
19760 bytes
Additional Memory Required for Residual Plots
0 bytes
Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
Environ Attitude 1: Environment is threatened, Environmental
knowledge, Political attitudes, Environ Attitude 2: Nature is for
Humansb
.
Enter
a. Dependent Variable: Environmental behavior
b. All requested variables entered.
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.401a
.160
.119
18.301
a. Predictors: (Constant), Environ Attitude 1: Environment is
threatened, Environmental knowledge, Political attitudes,
Environ Attitude 2: Nature is for Humans
ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
5184.017
4
1296.004
3.869
.006b
Residual
27129.471
81
334.932
Total
32313.488
85
a. Dependent Variable: Environmental behavior
b. Predictors: (Constant), Environ Attitude 1: Environment is
threatened, Environmental knowledge, Political attitudes,
Environ Attitude 2: Nature is for Humans
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
98.000
23.970
4.088
.000
Environ Attitude 2: Nature is for Humans
1.441
.561
.358
2.570
.012
Political attitudes
.040
.236
.020
.168
.867
Environmental knowledge
-.227
.994
-.025
-.229
.820
Environ Attitude 1: Environment is threatened
-.301
.672
-.061
-.449
.655
a. Dependent Variable: Environmental behavior
PSYC 291 Environmental Survey
Fall 2019
Environmental Attitudes
Source:
Milfont, T., & Duckitt, J. (2010). The environmental attitudes
inventory: A valid and reliable measure to assess the structure
of environmental attitudes. Journal of Environmental
Psychology, 30(1), 80-94.
Please rate your agreement with these statements.
Strongly
Disagree
Strongly Agree
1
2
3
4
5
6
7
A1. If things continue on their present course, we will soon
experience a major ecological catastrophe.
A2. When humans interfere with nature it often produces
disastrous consequences.
A3. Humans are severely abusing the environment.
A4. The idea that we will experience a major ecological
catastrophe if things continue on their present course is
misguided nonsense. (R)
A5. It is all right for humans to use nature as a resource for
economic purposes.
A6. Protecting peoples’ jobs is more important than protecting
the environment.
A7. People have been giving far too little attention to how
human progress has been damaging the environment. (R)
A8. Protecting the environment is more important than
protecting economic growth. (R)
A9. We should no longer use nature as a resource for economic
purposes. (R)
A10. The benefits of modern consumer products are more
important than the pollution that results from their production
and use.
Political Attitudes
Source:
Harvard Kennedy School Institute of Politics (2019). Survey of
young Americans’ attitudes toward politics and public service.
Retrieved from Harvard Kennedy School Institute of Politics
Website:
https://iop.harvard.edu/sites/default/files/content/190419_Harva
rd%20IOP%20Spring%202019_Topline.pdf.
P1. When it comes to voting, with which party do you consider
yourself to be affiliated?
Strong Democrat
Not a very strong Democrat
Strong Republican
Not a very strong Republican
Independent/Unaffiliated
P2. When it comes to most political issues, do you think of
yourself as a...?
Liberal
Conservative
1
2
3
4
5
6
7
P3. Do you consider yourself to be a proud member of your
party, or not?
Yes, I am proud
No, I am not
P4. How likely is it that you will vote in the general election for
President in November 2020?
Definitely will be voting
Probably will be voting
Probably won't be voting
Definitely won't be voting
P5. How likely is it that you will vote in your state’s primary or
caucus for President in 2020?
Definitely will be voting
Probably will be voting
Probably won't be voting
Definitely won't be voting
P6. Thinking about national issues for a moment, which issue
concerns you most?
Immigration
Economy
National Debt/budget deficit
Taxes
Financial Stability
Unemployment/Jobs
Environment/Global Warming
President Trump/Ineffective leadership
Health Care
Racial Issues
Gun Control/Second Amendment Issues
Abortion
Safety/Security
Education
Government/Political Corruption
Political Partisanship/Divide
Housing
Moral Issues
Equality/Equal Rights
Women’s Rights
Foreign Policy
Other
None
P7. Approximately how many times a day do you check your
phone (including social media)
for news and current events related content?
0 times
1-5 times
6-10 times
11-20 times
21+ times
P8. On which of the following platforms, if any, do regularly
access for news and current events related content? (multiple
responses allowed)
Facebook
Instagram
Twitter
Snapchat
None of them
Below is a list of statements about politics. Do you agree or
disagree with these statements?
Strongly
Disagree
Strongly Agree
1
2
3
4
5
6
7
P9. Donald Trump cares about people like me.
P10. The Republican party cares about people like me.
P11. The Democratic party cares about people like me.
P12. Voters who are part of the Baby Boomer generation (age
55 to 73) care about people like me.
P13. Elected officials who are part of the Baby Boomer
generation (age 55 to 73) care about people like me.
P14. Community service is an honorable thing to do.
P15. I want to do what I can to help unite, not further divide,
America.
P16. Elected officials seem to be motivated by selfish reasons.
P17. I am confident that I will be allowed to cast a ballot and
have it counted in the 2020 Presidential election.
P18. Despite our challenges, I would rather live in America than
any other place.
P19. Elected officials don’t seem to have the same priorities I
have.
P20. I feel like the government does not represent the America I
love.
P21. Politics has become too partisan.
P22. I feel like I need more practical information about politics
before I get involved.
P23. Politics today are no longer able to meet the challenges our
country is facing.
P24. People like me don’t have any say about what the
government does.
P25. Running for office is an honorable thing to do.
P26. I don’t believe my vote will make a real difference.
P27. The idea of working in some form of public service is
appealing to me.
P28. Political involvement rarely has any tangible results.
P29. The results of my previous involvement in politics have
left me disappointed.
P30. Politics is not relevant to my life right now.
P31. It really doesn’t matter to me who the President is.
P32. Based on the current state of the economy, how easy or
difficult do you think it will be for students in your class to find
a permanent job upon graduation?
Very easy
Somewhat easy
Somewhat difficult
Very difficult
Environmental Behaviors
Sources:
Oreg, S., Katz-Gerro, T. (2006). Predicting proenvironmental
behavior cross-nationally: Values, the theory of planned
behavior, and value-belief-norm theory. Environment and
Behavior, 38(4), 462-483.
Lynn, P. (2014). Distinguishing dimensions of pro-
environmental behavior. ISER Working Paper Series, No. 2014-
19, University of Essex, Institute for Social and Economic
Research (ISER), Colchester.
Please rate the extent to which you do the following:
Never
Always
1
2
3
4
5
6
7
B1. Leave your TV on at night. (R)
B2. Switch off lights in rooms that aren’t being used.
B3. Keep the tap running while you brush your teeth. (R)
B4. Put more clothes on when you feel cold rather than putting
the heating on or turning it up.
B5. Decide not to buy something because you feel it has too
much packaging.
B6. Buy recycled paper products such as toilet paper or tissues.
B7. Take your own shopping bag when shopping.
B8. Use public transportation rather than travel by car.
B9. Walk or bike for trips less than two or three miles.
B10. Car share with others who need to make a similar trip.
B11. Take fewer flights
B12. In the winter, I keep the heat at such a temperature that I
can wear light clothing inside my house. (R)
B13. In winter, I leave the windows of my house open for long
periods of time to air the house. (R)
B14. In winter, I turn off the heat in my house at night.
B15. In winter, when I leave my house for more than 30
minutes, I turn off the heat.
B16. I make the most use out of natural light.
B17. I turn off any lights I am not using.
B18. I unplug any electrical appliances I am not using.
B19. I buy biodegradable detergents to wash laundry.
B20. I buy organic products.
B21. I buy rechargeable batteries.
B22. I buy energy-efficient light bulbs.
B23. I buy products in reusable or returnable containers.
B24. After spending a day outside, I leave the site as clean as it
was when I got there.
B25. I visit national parks and/or nature reserves.
B26. I try to repair leaky faucets quickly.
B27. I leave the water running in the shower until it reaches the
proper temperature. (R)
B28. I try to turn off the faucet when I brush my teeth.
B29. I wait until I have a full load of laundry before putting it
in the washing machine.
B30. I drive in such a way to minimize the amount of gas I
consume.
B31. I sort papers and cardboard for recycling.
Environmental Knowledge
Sources:
Murphy, T. P. (2004). The Second Minnesota Report Card on
Environmental Literacy. The Second Minnesota Report Card on
Environmental Literacy. Minnesota Office of Environmental
Assistance. Retrieved from
https://www.pca.state.mn.us/sites/default/files/p-ee5-06.pdf
O’Brien, S. R. (2007). Indications of environmental literacy:
Using a new survey instrument to measure awareness,
knowledge, and attitudes of university-aged students. Retrieved
from
http://www.academia.edu/34876091/Indications_of_environmen
tal_literacy_using_a_new_survey_instrum_2
K1. Compared to other students in your college and/or
department, how
much do you feel you know about environmental issues and
problems in general?
1. A lot
2. A reasonable amount
3. A little
4. Almost nothing
5. Nothing
6. Don't know
K2. What are your primary sources for environmental
information? Check as many as applicable:
1. TV
2. Radio
3. Internet
4. Magazines
5. Newspaper
6. Classes/courses
7. Books
8. Library
9. Friends/ relatives
10. Other
11. None
K3. During the past 10 years, do you think that the overall
quality of the planet's environment has
1. Improved a lot
2. Somewhat improved
3. Stayed the same
4. Somewhat declined
5. Declined a lot
6. Don't know
K4. What is the most common cause of pollution of streams,
rivers and oceans?
Dumping of garbage by cities,
Surface water running off yards, city streets, paved lots, and
farm fields,**
Trash washed into the ocean from beaches
Waste from factories
Other
K5. Thinking about the country as a whole, how is most of the
electricity in the U.S. generated?
By burning fossil fuels, such as coal and oil,**
With nuclear power
Through solar energy
At hydroelectric power plants
Other
K6. Carbon monoxide is a major contributor to air pollution in
the U.S. Which of the following is the biggest source of carbon
monoxide?
Factories and businesses
People breathing
Motor vehicles**
Trees
Other
K7. What is one of the main benefits of wetlands?
Help to control global climate change
Help filter and store water before it enters lakes, streams, rivers
or oceans**
Prevent the spread of undesirable plants and animals
Provide good sites for landfills
Other
K8. What do you think is the main cause of global climate
change, that is, the warming of the planet Earth?
A recent increase in oxygen in the atmosphere
Sunlight radiating more strongly through a hole in the upper
ozone layer
More carbon emissions from autos, homes and industry**
Increased activity from volcanoes worldwide
You don’t believe there is global climate change
K9. Many communities are concerned about running out of
space in their community trash dumps and landfills. The
greatest source of landfill material is
Disposable diapers
Lawn and garden clippings, trimmings and leaves
Paper products including newspapers, cardboard and packing**
Glass and plastic bottles and aluminum and steel cans
Other
K10. Where does most of the energy that people use worldwide
come from?
1. Fossil fuels***
2. Wind power
3. Hydro power
4. Nuclear power
5. Don't know
K11. Which of the following is a non-renewable resource?
1. White-tailed deer
2. Fresh water
3. Oil ***
4. Trees
5. Don't know
K12. To maintain healthy woodlands and forests, we must:
1. Leave them alone
2. Check them every 40-50 years
3. Carefully manage them, including some trimming and cutting
***
4. Maintain abundant wildlife populations
5. None of the above
K13. Sustainable agriculture aims to...
1. Produce enough food to sustain human society
2. Meet the demand for food at any costs
3. Produce enough food while maintaining stable economic
costs
4. Produce enough food while maintaining a stable environment
5. Meet the requirement for food while maintaining a healthy
social, economic, and
ecological environment ***
6. Don't know
K14. What is the most common cause for plant and animal
species to become extinct?
1. Predation by other species
2. Habitat loss and fragmentation ***
3. Temperature change
4. Competition between species
5. Don't know
K15. If one is to say a species exceeded the carrying capacity of
its habitat, it means that:
1. It no longer has enough food, water, and cover available to
sustain the species in its current condition for an indefinite
future ***
2. It no longer has enough food, water, and cover available to
sustain the species at all anymore
3. It no longer has enough food, water, and cover available to
share with other species
4. None of the above
5. Don't know
Demographic Questions
Source:
Written by researchers
Please answer the following demographic questions.
Preferred Gender
Male
Female
Other
Race
White
Black/African American
Asian
American Indian or Alaska Native
Native Hawaiian or Other Pacific Islander
Age __________
Name (for credit granting purposes only, your name will be
deleted once credit is given)
________________________________________________
___________
APA Style
OverviewLanguageParts of research paperAPA styleIn-text
citationsReferences
Avoiding Biased LanguageAPA committed to fair treatment of
individuals and groups“APA publications [have] to avoid
perpetuating demeaning attitudes and biased assumptions about
people in their writing” (pg. 61)
Describe at appropriate level of specificity“Gay” vs. “gay men
and lesbians”Only mention differences (e.g., marital status,
sexual orientation) when they are relevant
APA = American Psychological Association
GuidelinesBe sensitive to labelsCall people what they prefer to
be called (this may change over time)Avoid labels that cause
people to lose their individualityE.g., “the elderly” vs. “elderly
participants” or “people that are elderly”
Acknowledge participationUse active voice“Our study included
60 people” vs. “Sixty people participated”Use the term
“participants” instead of “subjects”
Best to be more specific (e.g., instead of asian american note
their region of origin – chinese american)
Don’t use offensive labels (oriental vs. asian)
Revise the FollowingThe participants were asked to think of
their favorite teacher from elementary school and to rate her on
the 20 evaluative dimensions.
Original ArticleNeed for Cognitive Closure andPolitical .docx
Original ArticleNeed for Cognitive Closure andPolitical .docx
Original ArticleNeed for Cognitive Closure andPolitical .docx
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Original ArticleNeed for Cognitive Closure andPolitical .docx

  • 1. Original Article Need for Cognitive Closure and Political Ideology Predicting Pro-Environmental Preferences and Behavior Angelo Panno,1 Giuseppe Carrus,1 Ambra Brizi,2 Fridanna Maricchiolo,1 Mauro Giacomantonio,2 and Lucia Mannetti2 1Department of Education, Experimental Psychology Laboratory, Roma Tre University, Roma, Italy 2Department of Social & Developmental Psychology, Sapienza University of Rome, Rome, Italy Abstract: Little is known about epistemic motivations affecting political ideology when people make environmental decisions. In two studies, we examined the key role that political ideology played in the relationship between need for cognitive closure (NCC) and self- reported eco- friendly behavior. Study 1: 279 participants completed the NCC, pro-environmental, and political ideology measures. Mediation analyses showed that NCC was related to less pro-environmental behavior through more right-wing political ideology. Study 2: We replicated these results with a nonstudent sample (n = 240) and both social and economic conservatism as mediators. The results of Study 2 showed that social conservatism mediated the relationship between NCC and
  • 2. pro-environmental behavior. Finally, NCC was associated with pro- environmental attitude through both social and economic conservatism. Keywords: need for cognitive closure, political ideology, pro- environmental behavior, environmental attitude, conservatism, cognition Ecosystems are under pressure worldwide due to global phenomena and environmental changes such as global warming, biodiversity loss, depletion of fresh water, and population growth. Understanding how individuals react to the environmental crisis and take a position regarding environmental conservation policies is, therefore, a crucial challenge for the current political, scientific, and environ- mental agenda. To tackle the urgency of current environ- mental global issues adequately, there is widespread scientific and political consensus that individuals, groups, and communities must reduce their environmental foot- print in the very near term (e.g., Brewer & Stern, 2005; Schultz & Kaiser, 2012). What is needed at the individ- ual and societal level is, therefore, an increase in ecologi- cally responsible behavior (e.g., Clayton & Myers, 2015; Turaga, Howarth, & Borsuk, 2010). Empirical studies on the antecedents of pro-environmental behavior and climate change perception have outlined the role of several predic- tors, including political ideology as well as some proxy of conservative ideology such as social dominance (e.g., Carrus, Panno, & Leone, in press; Hoffarth & Hodson, 2016; Milfont, Richter, Sibley, Wilson, & Fischer, 2013; Panno et al., 2018). To better understand the relation between political ideology and environmentalism individ- ual differences related to epistemic motivation should be considered. The main aim of the present study is to exam-
  • 3. ine the relationship between people’s need for cognitive closure (NCC; Webster & Kruglanski, 1994) and eco- friendly behavior, as well as the key role that political ideology may play in this relationship. In the following sections, we briefly discuss recent literature findings con- necting political ideology to pro-environmental behavior on the one hand, and connecting NCC to political ideology, on the other hand. Political Ideology and Pro-Environmental Behavior Many findings converge to show that a left-wing or liberal political ideology is positively linked to pro-environmental behavior, while a right-wing or conservative orientation is negatively linked to it (e.g., Carrus et al., in press; Dunlap & McCright, 2008; Neumayer, 2004; Zia, & Todd, 2010, Panno, Carrus, Maricchiolo, & Mannetti, 2015). More specifically, a number of studies have shown that liberals have a stronger environmental concern than conserva- tives. For example, liberals show stronger support for pro- environmental legislation and regulation (Allen, Castano, & Allen, 2007; Cottrell, 2003; Dietz, Stern, & Guagnano, � 2018 Hogrefe Publishing Social Psychology (2018), 49(2), 103–112 https://doi.org/10.1027/1864-9335/a000333 T hi s do cu m
  • 8. ly . 1998; Dunlap & Van Liere, 1984), and show greater con- cern for global climate change (e.g., Carrus et al., in press; Dunlap & McCright, 2008; Neumayer, 2004; Zia & Todd, 2010; Panno et al., 2015). Earlier studies hypothesized some reasons for this (e.g., Dunlap, 1975). Conservatives support business and industry that do not usually support environmental reform. In addition, conservatives might often oppose environ- mental reform because they entail an extension of govern- ment activities and regulations over individual will and actions (Dunlap, 1975; Van Liere & Dunlap, 1981; Howell & Laska, 1992; Gamba & Oskamp, 1994). On the other hand, environmentalism usually entails the promotion of environmental justice, rejection of discrimination against vulnerable groups, and holds concern for the welfare of future generations and nonhuman species, along with the preservation of the natural landscape (Forgas & Jolliffe, 1994; Sabbagh, 2005). These values are more characteristic of a liberal, rather than a conservative, ideology, which supports an industrial and capitalist social order, and shows resistance to massive societal changes that alter the status quo (McCright & Dunlap, 2010). Despite the consistency of these findings, not enough attention has been paid to the psychological ante- cedents of political ideology, to explain their role as key predictors of pro-environmental behavior through people’s ideologies. Need for Cognitive Closure and Political
  • 9. Ideology The need for cognitive closure (NCC) represents a person- ality disposition that encompasses individual differences in information processing (Webster & Kruglanski, 1994; see Roets, Kruglanski, Kossowska, Pierro, & Hong, 2015, for a recent review). It has been defined as people’s desire for a firm answer to a question, any firm answer, as opposed to confusion and/or ambiguity (Kruglanski, 2004, p. 6). Thus, it can be considered a psychological need to limit ambiguity and to intrinsically find ambiguous situa- tions unpleasant (Roets & Van Hiel, 2011b; Webster & Kruglanski, 1994). In fact, people showing a stronger ten- dency for chronic use of NCC prefer order, predictability, avoid uncertainty, and they are close-minded, as well as intolerant of ambiguity (e.g., Dhont, Roets, & Van Hiel, 2011; Kruglanski, 1989; Kruglanski & Webster, 1996; Roets & Van Hiel, 2011a, 2011b). The NCC represents a motivational disposition making people reluctant to accept information inconsistent with their beliefs and opinions. Accordingly, individuals feel stressed when this inconsistency occurs (e.g., Roets & Van Hiel, 2008). For the reasons discussed above, NCC is generally consid- ered a factor that heavily affects individuals’ epistemic motivation, that is, the willingness to hold a rich and accu- rate view of the world (Kruglanski, 1989). Since the mid-1990s, the NCC has been studied exten- sively, examining its impact on individual, interpersonal, and group processes (Roets et al., 2015). One of the most interesting theoretical developments, among the many derived from NCC theory, is the motivated social cognition model proposed by Jost, Glaser, Kruglanski, and Sulloway (2003), that focuses on the relationship between cognitive functioning and conservative beliefs. According to this
  • 10. model, people who avoid uncertain situations and are risk averse find conservative ideologies appealing because they preserve the status quo (Jost et al., 2003, 2007). Jost and colleagues (2003) proposed the need for closure as a motivated cognitive factor that provides a conceptual link to conservative ideology. Many studies have indeed found a relation between NCC and a right-wing political ideology (e.g., Chirumbolo, Areni, & Sensales, 2004; Kemmelmeier, 1997; Ksiazkiewicz, Ludeke, & Krueger, 2016; Onraet, Van Hiel, Roets, & Cornelis, 2011). The pioneering genetic study by Ksiazkiewicz et al. (2016) also demonstrated that individuals’ NCC can be heritable. Their work supports previous research positing that personality dispositions emerge very early in life, while political atti- tudes are not particularly coherent at early ages, then begin to emerge in adolescence and grow in stability up through early adulthood (e.g., Hatemi et al., 2009; Jennings & Markus, 1984; Jennings, Stoker, & Bowers, 2009; McCrae et al., 2000; Sears & Funk, 1999). In sum, this suggests that NCC is a precursor of right-wing political ideology rather than the other way round. With regard to the present studies, Chirumbolo and colleagues (2004) found that high NCC individuals (vs. low NCC) showed a right-wing political affiliation in the Italian context. Moreover, closed-minded people exhibited a preference for autocratic leadership and centralized forms of political power, as well as stronger antiimmigrant attitudes and nationalism. In sum, several authors have claimed that various motives drive people’s worldviews, including epistemic motives to manage complexity, reduce uncertainty, and address ambiguity, which are captured, in large part, by cognitive style such as the NCC (e.g., Jost et al., 2003; Kruglanski & Webster, 1996; Ksiazkiewicz et al., 2016; Roets et al., 2015). We build upon this approach to investigate the relationships between NCC, political ideology, and pro- environmental behavior. In the following section, we
  • 11. discuss recent studies that suggest a connection between epistemic motivation and eco-friendly behavior (i.e., Barbaro, Pickett, & Parkhill, 2015; Nisbet, Hart, Myers, & Ellithorpe, 2013). Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe Publishing 104 A. Panno et al., Need for Closure and Pro-Environmental Behavior T hi s do cu m en t i s co py ri gh te d by th
  • 14. y fo r t he p er so na l u se o f t he in di vi du al u se r a nd is n
  • 15. ot to b e di ss em in at ed b ro ad ly . Epistemic Motivation and Eco-Friendly Attitude To the best of our knowledge, there are only two studies relating other variables that are typically associated with epistemic motivation to an eco-friendly attitude. In the first (Nisbet et al., 2013), people’s open-/closed-mindedness has been shown to moderate the effects of competitive (i.e., including arguments in favor and against a climate change mitigation policy) versus noncompetitive (i.e., including only arguments in favor of such a policy) messages on the
  • 16. perceived costs and benefits of government climate policies. Results of this study showed that especially for open- rather than closed-minded individuals, viewing the compet- itive message resulted in a favorable cost-benefit calculus, leading to increased support for climate change mitigation policy. These results are interesting for communication campaigns dealing with climate change phenomena, but say little about the relationship between NCC and pro- environmental behavior itself, as well as the role that people’s political ideology plays in this relationship. Other work (Barbaro et al., 2015) examined the impact of need for cognition, which reflects the extent to which one actively seeks information and enjoys critical thinking, on pro-environmental goal choice. Barbaro and colleagues’ results showed that need for cognition has a positive impact on pro-environmental goal choice through environmental attitude. Need for cognition is theoretically distinct from NCC, as it represents an individual orientation toward a certain type of mental process (i.e., systematic, effortful cog- nition) aimed at forming beliefs regardless of their content, whereas the need for cognitive closure is considered an ori- entation toward reaching a stable conclusion with minimal ambiguity, which may require heuristic processing in some situations and systematic processing in others (Jost et al., 2003; Kruglanski & Webster, 1996; Roets et al., 2015). For researchers, these differences give rise to different mecha- nisms underlying people’s behavior and deserve to be exam- ined separately (e.g., Kruglanski & Webster, 1996; Roets et al., 2015). Taken together, the results of these studies (i.e., Barbaro et al., 2015; Nisbet et al., 2013) represent a first attempt to shed light on the relationship between epistemic motivations and the pro-environmental domain. Nonethe- less, Nisbet et al. (2013) focused on the relationship between a facet of NCC and climate change policies but they did not
  • 17. use a measure of pro-environmental behavior. On the other hand, Barbaro et al. (2015) used a pro-environmental attitude measure but focusing on the construct of need for cognition. Thus, to the best of our knowledge, there are no studies investigating these relationships using either a measure of NCC or measures of pro-environmental prefer- ences and behavior. The current research sought to fill such a gap (see below for more details). The Present Study Social and political psychology have provided theoretical arguments and coherent empirical results suggesting that an epistemic motivation, such as the NCC, can be a relevant psychological antecedent of conservative ideology and right- wing political orientation (see Ksiazkiewicz et al., 2016, for more details). As shown through environmental psychology, these political beliefs have been frequently identified as proximal factors of an antienvironmental stance, linked to individual and group reactions such as denial of climate change, opposition to environmental conservation policies, and reluctance to undertake behavioral and lifestyle changes that go in the direction of a reduced environmental footprint (e.g., Hoffarth & Hodson, 2016). Taken together these lines of research suggest that a potential link between NCC and pro-environmental preferences and behavior could be explained through political ideology. The theoretical account behind the hypotheses of the present research is that high NCC individuals encompass a conservative political stance, which does not pay attention to environmental policies, and in turn, such a stance reflects the way they behave. In other words, these individuals are averse to change, and accord- ingly, they might envisage certain behavioral changes (e.g., pro-environmental preferences and behavior) as a deviation from the status quo. Moreover, such behavioral changes might also be seen as possible factors in the undermin-
  • 18. ing of conservative policies supporting the status quo. Thus, drawing on social and environmental psychological research, in the current work, we present two studies testing the following hypotheses: first, we expected that disposi- tional NCC is related to pro-environmental preferences and behavior through people’s political ideology (Study 1). Specifically, we hypothesized that individuals showing a higher NCC would also report a conservative political ideol- ogy, which in turn, is negatively related to pro-environmental preferences and behavior. Second, we expected that the social dimension of political ideology, and not the economic dimension, would mediate the relationship between NCC and pro-environmental preferences and behavior (Study 2). Study 1 Method Participants and Procedure Two hundred and seventy-nine undergraduate students at two university campuses participated in the study (Mage = 22.95; SD = 2.48; range = 19–31 years; 60% women). The aim of collecting data across two university campuses including different faculties (i.e., Psychology, Engineering, Educational Studies, Economics and Business, Law) was � 2018 Hogrefe Publishing Social Psychology (2018), 49(2), 103–112 A. Panno et al., Need for Closure and Pro-Environmental Behavior 105 T hi s
  • 23. b ro ad ly . twofold. First, this procedure allowed us to recruit partici- pants with political ideologies ranging between liberal and conservative. Second, recruiting participants across differ- ent faculties of these two university campuses helped to better balance gender. The questionnaires were adminis- tered in public areas of the campuses and took about 15 min to complete. Data were collected through an online questionnaire administered by trained assistants. Partici- pants individually completed the questionnaire on a laptop. They were assured the anonymity of their responses. The online survey included demographic information, the need for cognitive closure scale, political ideology, and pro- environmental measures, and other scales unrelated to the goals of the current study (i.e., regulatory focus, trait emotional intelligence, and empathy). Measures The Need for Closure was measured using the Italian NCC version developed by Pierro and Kruglanski (2005). The scale is composed of 14 items that loaded on singular factor score. Responses to the items were rated on a 5-point scale ranging from 1 (= strongly disagree) to 5 (= strongly agree), with higher scores indicating a greater need to attain cogni- tive closure. In this sample, the internal consistency was .76. To measure pro-environmental preferences and behav- ior, we used 17 items measuring people’s tendency to
  • 24. endorse pro-environmental preferences and behavior (e.g., recycle paper, plastic, and metal, see the Electronic Supple- mentary Material ESM 1 for an overview of these items). Some items were borrowed and adapted from the Student Environmental Behavior Scale (Markowitz, Goldberg, Ashton, & Lee, 2012). This measure assesses eco-friendly activities that people adopt in order to reduce their ecolog- ical footprint. A composite score of these 17 items indicated participants’ pro-environmental preferences and behavior. The internal consistency of this measure in this sample was α = .72. Ratings were made on a 5-point Likert type scale, with the response anchored at the ends with 1 (= strongly disagree) and 5 (= strongly agree). Self-placement on the left-right (liberal-conservative) dimension was measured by the following item: “Considering the current political context in Italy, how would you describe your political orientation?” A 5-point scale was used (1 = left, 2 = center-left, 3 = center, 4 = center-right, and 5 = right). Results The zero-order correlations between need for cog- nitive closure, political ideology, and pro-environmental preferences and behavior are presented in Table S1 of ESM 1. To investigate our hypotheses of the relationships between need for cognitive closure, political ideology, and pro-environmental preferences and behavior, we used regression analyses in which we control for gender and university campus. Gender is known to be related to pro- environmental behavior (e.g., Panno et al., 2015; Unanue, Vignoles, Dittmar, & Vansteenkiste, 2016). Students at dif- ferent campuses could differ in relevant variables, thus it is important to control for these variables as well. The results
  • 25. of these analyses are presented in Figure 1. In a regression model controlling for gender and university campus, the relationship between NCC and political ideology was posi- tive, β = .15, p < .05; Bunstandardized = .03, 95% CI [.006, .046], meaning that people high in NCC had a more right-wing political ideology. In this regression model hav- ing political ideology as the outcome variable, gender and university campus were found to have nonsignificant effects, p = .244 and p = .626, respectively. In a similar regression model with pro-environmental preferences and behavior as the outcome variable, the relationship between NCC and pro-environmental preferences and behavior was negative and marginally significant, β = �.11, p = .061; Bunstandardized = �.13, 95% CI [�.267, .007]. When we added political ideology as a predictor to this model, polit- ical ideology had a negative relationship with pro-environ- mental preferences and behavior (β = �.18, p < .01; Bunstandardized = �1.27, 95% CI [�2.077, �0.468]) and the Bunstandardized coefficient for NCC dropped from �.13 to �.10 (see Figure 1 for more details). In line with previous studies (e.g., Panno et al., 2015; Unanue et al., 2016), we found a significant effect of gender on pro-environmental preferences and behavior (β = �.19, p < .01; Bunstandardized = �3.53, 95% CI [�5.67, �1.39]), with men being less envi- ronmentally oriented than women. The university campus was found to have a nonsignificant effect (p = .414). To understand the mechanisms underlying the relation- ships between need for closure, political ideology, and pro-environmental preferences and behavior, we used the PROCESS macro for SPSS (Hayes, 2013), which tested our mediation hypothesis. The mediation model was esti- mated to derive the total, direct, and indirect associations of need for closure with pro-environmental preferences and behavior through political ideology. Since participants’ gender and/or university campus could influence the rela- tionships investigated, we therefore tested a mediation
  • 26. model that included gender (women coded as 1 and men coded as 2) and university campus as covariates 1 Hayes and other authors (e.g., MacKinnon, Krull, & Lockwood, 2000) recommend that “researchers not require a significant total effect before proceeding with tests of indirect effects. A failure to test for indirect effects in the absence of a total effect can lead to you miss some potentially interesting, important, or useful mechanisms by which X exerts some kind of effect on Y” (Hayes, 2009, p. 414). Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe Publishing 106 A. Panno et al., Need for Closure and Pro-Environmental Behavior T hi s do cu m en t i s co py ri
  • 30. se r a nd is n ot to b e di ss em in at ed b ro ad ly . (see Hayes, 2013, for this procedure). We estimated the indirect effect of need for closure on pro-environmental preferences and behavior, quantified as the product of the OLS regression coefficient estimating political ideology
  • 31. from need for closure controlling for covariates (path a in Figure 1, and the OLS regression coefficient estimating pro-environmental preferences and behavior from political ideology, controlling for need for closure, as well as covari- ates (path b in Figure 1). Using the PROCESS macro with 5,000 bootstrap samples, our results revealed a signifi- cant negative indirect effect of need for closure on pro- environmental preferences and behavior through political ideology (point estimate = �0.033; 95% CI [�0.076, �0.008]). As gender was related to pro-environmental preferences and behavior, we tested a further model includ- ing participants’ gender and need for cognitive closure as the independent variables of the mediation model (political ideology = mediator; pro-environmental preferences and behavior = dependent variable; university campus = covari- ate) in order to understand whether gender was also related to pro-environmental preferences and behavior through political ideology. We did not find a significant association of gender with pro-environmental preferences and behavior through political ideology (point estimate = �0.242; 95% CI [�0.864, 0.127]). These results will be discussed together with the results from Study 2. Study 2 Study 1 showed that NCC is related to pro-environmental preferences and behavior through a general measure of political ideology. Study 2 included two dimensions of polit- ical ideology (i.e., social and economic dimensions) to rule out the possibility that a general measure of the political ideology might mask a specific indirect effect of one of these dimensions. Moreover, in Study 2, we measured pro-environmental attitude as well as pro-environmental behavior through two reliable and standardized measures (i.e., The environmental attitude inventory, Milfont &
  • 32. Duckitt, 2010; General ecological behavior, Kaiser, 1998) in order to test our hypothesized model for both of these outcomes separately. More specifically, in continuity with the previous study, we used a measure to assess rather con- crete, daily pro-environmental preferences and behavior, but we also added a new scale tapping more into the gen- eral attitude toward the environment and the importance of its preservation. This adds a new perspective and new information, since concrete behavioral tendencies tend to be affected to a great extent by contextual constraints (e.g., rules, habits, influence of peers) which could be very influential (especially) for high need for closure individuals. General attitude, in contrast, is more likely to reflect a stance toward environmental issues that will be less likely affected by contextual factors. Finally, to rule out possible alternative explanations based on sampling artifacts, the second study was conducted using a nonstudent sample. Method Participants and Procedure Two hundred and forty participants from the United States were recruited through Mechanical Turk (MTurk) for this purpose (Mage = 36.80; SD = 11.20; range = 19–74 years; 50% women). Participants completed a brief questionnaire on Amazon. com’s Mechanical Turk online survey program. According to Buhrmester, Kwang, and Gosling (2011), MTurk partici- pants are significantly more diverse than typical college samples; realistic compensation rates do not affect data quality; the data obtained are at least as reliable as those obtained via traditional methods. The online survey included demographic information as well as the following questionnaires.
  • 33. a = .03*; SE = .01 Political Ideology Pro-Environme ntal Preferences/Behavior c' = -.10; SE = .07 Need for Cognitive Closure c = -.13†; SE = .07 b = -1.27**; SE = .41 Figure 1. Path coefficients for mediation analysis in Study 1. Dotted line denotes the effect of need for cognitive closure on pro- environmental behavior, when polit- ical ideology is not included as a mediator. a, b, c, and c0 are unstan- dardized OLS regression coeffi- cients. †p = .06; *p < .05; **p < .01. � 2018 Hogrefe Publishing Social Psychology (2018), 49(2), 103–112 A. Panno et al., Need for Closure and Pro-Environmental Behavior 107 T hi s do
  • 38. ro ad ly . Measures Need for Closure The Need for Closure was measured with the short version scale developed by Roets and Van Hiel (2011b). The scale constitutes a 15-item measure in which these items load in a singular factor score (e.g., “I don’t like situations that are uncertain”; “I dislike questions which could be answered in many different ways”). Responses to items were rated on a 5-point scale ranging from 1 (= strongly dis- agree) to 5 (= strongly agree), with higher scores indicating a greater need to attain cognitive closure (α = .91; M = 3.49, SD = 0.76). Pro-Environmental Attitude We measured pro-environmental attitude through the Environmental Attitudes Inventory (EAI – 24 items form; Milfont & Duckitt, 2010; see ESM 1, for an overview of these items). Sample items include: “Humans are severely abusing the environment.” A composite score of these 24 items indicated participants’ pro-environmental attitude. Ratings were made on a 5-point Likert type scale, with the response anchored at the ends with 1 (= strongly disagree) and 5 (= strongly agree) (α = .88; M = 3.46, SD = 0.64). Pro-Environmental Preferences and Behavior We measured pro-environmental preferences and behavior through General Ecological Behavior scale (GEB; Kaiser,
  • 39. 1998). It is a 38-item scale that is able to measure ecological behavior across cultures (Kaiser, 1998). As this measure contains eight items referring to general prosocial behavior (e.g., Sometimes I give change to panhandlers) then, to rule out potential confounding factors, we excluded such items from analyses (see ESM 1, for an overview of the items used). We computed a composite score of these 30 items indicating participants’ pro-environmental preferences and behavior (e.g., “I bring empty bottles to a recycling bin,” “I prefer to shower rather than to take a bath,” “Usually I do not drive my automobile in the city,” “In the winter, I keep the heat on so that I do not have to wear a sweater”; see ESM 1). Ratings were made on a 5-point Likert type scale, with the response anchored at the ends with 1 (= strongly disagree) and 5 (= strongly agree) (α = .79; M = 3.05, SD = 0.51). Economic and Social Political Ideology These were assessed using economic and social items (Federico, Ergun, & Hunt, 2014). Participants responded to the following items: “How would you describe your political outlook with regard to economic issues?” and “How would you describe your political outlook with regard to social issues?” (M = 2.91, SD = 1.20, and M = 2.51, SD = 1.18, respectively; see Federico et al., 2014, for a similar procedure). Ratings were made on a 5-point scale ranging from 1 (= strongly liberal) to 5 (= strongly conservative), so higher responses to both indicated greater conservatism. Results To investigate the relationships between need for cognitive closure, social and economic dimensions of political ideol- ogy, as well as pro-environmental outcomes, we computed zero-order correlations among these variables (see Table S2
  • 40. in ESM 1). A strong need for closure was significantly and positively related to both dimensions of conservative polit- ical ideology. By contrast, a strong need for closure was significantly and negatively associated with pro-environ- mental behavior, only. No significant association between need for closure and pro-environmental attitude emerged. Our results also showed that pro-environmental attitude and behavior were significantly and negatively related to both dimensions of conservative political ideology. Finally, these results showed that pro-environmental attitude and behavior were significantly and positively correlated with each other (see Table S2 in ESM 1 for descriptive statistics). To test our hypotheses concerning the relationships between NCC, political ideology and pro-environmental outcomes, we used the PROCESS macro for SPSS (Hayes, 2013), which simultaneously tested the role of both social and economic dimensions of political ideology as media- tors. Such models included as outcomes the measures of pro-environmental preferences and behavior (i.e., Model 1) and pro-environmental attitude (i.e., Model 2), respec- tively. Moreover, these models included gender (coded as in Study 1, see above) as a covariate. Mediating analyses of Model 1 revealed significant indirect effects of the NCC on pro-environmental preferences and behavior through social conservatism (point estimate = �0.082, BC 95% CI [�0.164, �0.027]). By contrast, the economic dimension of the political ideology did not show a mediat- ing effect between NCC and pro-environmental prefer- ences and behavior (point estimate = �0.029, BC 95% CI [�0.092, 0.005]; see Table 1). These results replicate Study 1’s results. Mediating analyses of the Model 2 revealed significant indirect effects of the NCC on pro-environmental attitude
  • 41. through both social (point estimate = �0.118, BC 95% CI [�0.206, �0.057]) and economic (point estimate = �0.053, BC 95% CI [�0.124, �0.014]) dimensions of the political ideology. The effect of NCC on pro-environmental attitude moves from a negative direction to a positive direc- tion when controlling for both social and economic dimen- sions of the political ideology (see Table 1). This finding is consistent with a suppression pattern. More specifically, contrary to a typical mediation pattern in which controlling Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe Publishing 108 A. Panno et al., Need for Closure and Pro-Environmental Behavior T hi s do cu m en t i s co py ri gh te
  • 44. s ol el y fo r t he p er so na l u se o f t he in di vi du al u se r a
  • 45. nd is n ot to b e di ss em in at ed b ro ad ly . for the mediator reduces the magnitude of the association between the independent and the dependent variables (IV and DV), a suppression is present when the magnitude of the association between the IV and DV is stronger after controlling for the suppressor (MacKinnon et al., 2000). In other words, the positive direct association between need
  • 46. for closure and pro-environmental attitude (i.e., c0 coeffi- cient in Table 1) was apparently suppressed by political ideology. Gender was nonsignificant in both models (p > .1). General Discussion These studies investigate the relationships between need for closure, political ideology (in its social and economic dimensions), and pro-environmental outcomes. Taken together, these results suggest that dispositional NCC is associated with a conservative political ideology, which in turn, is related to pro-environmental outcomes. In compar- ison to earlier studies (e.g., Barbaro et al., 2015; Nisbet et al., 2013), this study is the first to show a relationship between need for closure and pro-environmental outcomes through specific facets of conservative political ideology. Moreover, these results extend previous research in the following ways: First, previous research investigating the relationship between epistemic motivation and pro- environmental outcomes focused on the need for cognition (Barbaro et al., 2015) or climate change policies (Nisbet et al., 2013). To the best of our knowledge, there are no studies investigating these relationships using either a mea- sure of NCC or measures of pro-environmental preferences and behavior. Thus, the current research sought to fill this gap indicating a relationship between dispositional NCC and pro-environmental preferences and behavior. Second, the present studies shed light on a mechanism underlying this relationship as they identify people’s social conser- vatism as a key factor playing a mediation role in this connection. More precisely, Study 1 shows that political ideology in general mediates the relationship between NCC and pro-environmental behavior. In Study 2, the rela- tionship between NCC and pro-environmental behavior was mediated by social conservatism and not by economic
  • 47. conservatism. The stronger role of one type of conservatism over the other should come as no surprise considering that previous work clearly indicates that NCC is more strongly associated with social rather than economic conservatism (Federico et al. 2014). The fact that the overall mediational model holds through two reliable and standardized measures of pro- environmental behavior increases confidence in the belief that our findings substantiate a broad-spectrum model that could be highly generalizable to several types of environ- mental-related outcomes. It should also be noted that in Study 2 the correlation of NCC with pro-environmental attitude is nonsignificant and much weaker than the correlation of NCC with pro- environmental preferences and behavior. In addition, whereas the indirect effects of NCC through social and economic conservatism on pro-environmental attitude are consistent with the indirect effects for pro-environmental behavior, the pattern for pro-environmental attitude sug- gests the presence of a suppression rather than a mediation. More specifically, when conservatism was controlled for, the tendency toward a negative association between NCC and pro-environmental attitude changed direction (but remained nonsignificant). This suggests, that when social and economic concerns are ruled out, a positive attitude toward nature tends to emerge. Speculating on these find- ings, we suspect that the pro-environmental attitude mea- sure incorporates both elements that are consistent and inconsistent with the view endorsed by need for closure individuals, thus leading to a weak overall effect and to the aforementioned suppression. For example, high NCC individuals could be favorable to altering the environ- ment to support humans’ interests and yet, at the same time, acknowledge that this constitutes a loss of a heritage that, in
  • 48. many cases, might be considered a source of identification. Likewise, closed-minded people might support the preserva- tion of some natural sites because this would prevent more chaotic human activities (e.g., water sports on a lake) which might even increase their concern for order and reduce the ease of processing that typically characterizes the naturalis- tic domain (Kaplan & Berman, 2010). These speculations Table 1. Path coefficients for mediation analyses in Study 2 Political ideology Path coefficients Dimension – mediator a (SE) b (SE) c (SE) c0 (SE) Model 1 – Outcome variable Social .03 (.01)*** �2.60 (1.01)* �.19 (.09)* �.08 (.09) Pro-environmental preferences and behavior Economic .02 (.01)** �1.52 (1.07) �.19 (.09)* �.08 (.09) Model 2 – Outcome variable Social .03 (.01)*** �3.76 (0.94)*** �.04 (.08) .12 (.08) Pro-environmental attitude Economic .02 (.01)** �2.83 (1.00)** �.04 (.08) .12 (.08) Notes. a = the effect of NCC on respective mediator; b = the effect of mediators on respective outcome; c = the effect of NCC on respective outcome, when mediators are not included; c0 = the effect of NCC on respective outcome, when mediators are included. a, b, c, and c0 are unstandardized OLS regression coefficients. *p < .05; **p < .01; ***p < .001. � 2018 Hogrefe Publishing Social Psychology (2018), 49(2), 103–112 A. Panno et al., Need for Closure and Pro-Environmental
  • 52. so na l u se o f t he in di vi du al u se r a nd is n ot to b e di ss
  • 53. em in at ed b ro ad ly . are based on weak trends and future studies need to inves- tigate more directly whether, among high NCC individuals, some ambivalence actually exists. Our results are consistent with social psychology research, that recognizes NCC as a driver of conservative political ideology because such a factor represents a process rooted in more basic psychological needs (e.g., Carney, Jost, Gosling, & Potter, 2008; Jost, Federico, & Napier, 2009). Broadly speaking, the results of the present research increase our knowledge, shedding light on antecedents and consequences of political ideology about a relevant phenomenon that is garnering the attention of a number of scholars across different fields of psychological science (i.e., the reduction of ecological footprint). Up until now, little attention has been paid to epistemic motivation as a precursor of pro-environmental behavior, which could potentially have a broad societal impact (see Bamberg & Möser, 2007, for a review). The present study offers fruitful insights into the connections between epistemic motivation
  • 54. and political ideology in predicting environmentally friendly activities. The present research focuses on a dispositional associa- tion of NCC with pro-environmental behavior through social conservatism but these associations need to be supported by further empirical evidence. For example, future research should use experimental manipulations inducing a situa- tional effect of NCC on pro-environmental outcomes to shed light on a possible situational effect of such a factor on these outcomes. Even so, although the cross-sectional nature of the studies does not allow causal inferences, our results provide relevant insights into the relationships between NCC, social and economic dimensions of political ideology, as well as pro-environmental outcomes. Further studies are needed to also explore more extensively whether and how the impact of the NCC on pro-environmental behavior itself could be influenced by other personal and/ or situational variables. Although it was beyond the scope of the present research to investigate all of these aspects, we could consider some possible additional factors of inter- est. Some authors (e.g., Onraet et al., 2011; Roets & Van Hiel, 2011a) have shown that NCC is positively related to people’s social dominance orientation. From a different line of research, other authors have shown that the social dominance orientation is negatively related to pro- environmental behavior and belief in global climate change (Carrus et al., in press; Milfont et al., 2013; Panno et al., 2018). Thus, from a theoretical perspective it could be interesting to investigate whether social dominance could represent a further mediator in these relationships. Our findings also have practical implications for policy makers who seek to stimulate pro-environmental behavior. Our research has revealed that there is a relationship between a dispositional need for closure and
  • 55. pro-environmental behavior, with social conservatism as a mediator. One implication of these findings would be that need for closure can act as a lever for policy makers to stim- ulate pro-environmental behavior. In fact, policy makers, taking into account that a significant proportion of people have a chronically high need for closure, might design communication campaigns presenting pro-environmental behavior as the default option, the habitual choice of the majority of citizens in order to persuade high NCC citizens to also adopt them. On the other hand, since need for closure can also be induced by situational factors such as feelings of uncertainty (e.g., Brizi, Mannetti, & Kruglanski, 2016), time pressure (e.g., De Grada, Kruglanski, Mannetti, & Pierro, 1999), and cognitive load (e.g., Chirumbolo, Brizi, Mastandrea, & Mannetti, 2014; Van Hiel & Mervielde, 2002), policy makers could take into account these aspects in designing social policies and daily life settings that help to prevent the occurrence of high need for closure. To conclude, our results increase the knowledge about the need for cognitive closure theory (e.g., Kruglanski, 2004; Roets et al., 2015; Webster & Kruglanski, 1994) and are also relevant for research that relies on political ide- ology in predicting pro-environmental behavior (e.g., Dun- lap, Xiao, & McCright, 2001; Dunlap & McCright, 2008; Hoffarth & Hodson, 2016; Mercado-Doménech, Carrus, Terán-Álvarez-Del-Rey, & Pirchio, 2017). More broadly speaking, investigations using paradigms that include the NCC promise novel insight into the connections between epistemic motivation and pro-environmental behavior across various fields including social psychology, as well as environmental research. Electronic Supplementary Material The electronic supplementary material is available with the
  • 56. online version of the article at https://doi.org/10.1027/ 1864-9335/a000333 ESM 1. Texts and Tables (.pdf) Items used to measure pro-environmental preferences and behavior and attitude in Studies 1 and 2. Means, standard deviations, and intercorrelations among variables investi- gated in Studies 1 and 2. References Allen, R. S., Castano, E., & Allen, P. D. (2007). Conservatism and concern for the environment. Quarterly Journal of Ideology, 30, 1–25. Bamberg, S., & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Envi- ronmental Psychology, 27, 14–25. https://doi.org/10.1016/ j.jenvp.2006.12.002 Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe Publishing 110 A. Panno et al., Need for Closure and Pro-Environmental Behavior T hi s do cu m
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  • 63. minds: The combined effects of intergroup contact and need for closure on prejudice. Personality and Social Psychology Bul- letin, 37, 514–528. https://doi.org/10.1177/0146167211399101 Dietz, T., Stern, P. C., & Guagnano, G. A. (1998). Social structural and social psychological bases of environmental concern. Environment and Behavior, 30, 450–471. https://doi. org/10.1177/001391659803000402 Dunlap, R. E. (1975). The impact of political orientation on environmental attitudes and actions. Environment and Behav- ior, 7, 428–454. https://doi.org/10.1177/001391657500700402 Dunlap, R. E., & McCright, A. M. (2008). A widening gap: Repub- lican and Democratic views on climate change. Environment: Science and Policy for Sustainable Development, 50, 26–35. https://doi.org/10.3200/ENVT.50.5.26-35 Dunlap, R. E., & Van Liere, K. D. (1984). Commitment to the dominant social paradigm and concern for environmental quality. Social Science Quarterly, 65, 1013–1028. Dunlap, R. E., Xiao, C., & McCright, A. M. (2001). Politics and environment in America: Partisan and ideological cleavages in public support for environmentalism. Environmental Politics, 10, 23–48. https://doi.org/10.1080/714000580 Federico, C. M., Ergun, D., & Hunt, C. (2014). Opposition to equality and support for tradition as mediators of the relationship between epistemic motivation and system-justifying identifi- cations. Group Processes & Intergroup Relations, 17, 524–541. https://doi.org/10.1177/1368430213517273
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  • 66. behavioral. Journal of Applied Social Psychology, 28, 395–422. https://doi. org/10.1111/j.1559-1816.1998.tb01712.x Kaplan, S., & Berman, M. G. (2010). Directed attention as a common resource for executive functioning and self-regulation. Perspectives on Psychological Science, 5, 43–57. https://doi. org/10.1177/1745691609356784 Kemmelmeier, M. (1997). Need for closure and political orientation among German university students. Journal of Social Psychology, 137, 787–789. https://doi.org/10.1080/00224549709595501 Kruglanski, A. W. (1989). The psychology of being “right”: The problem of accuracy in social perception and cognition. Psychological Bulletin, 106, 395–409. https://doi.org/10.1037/ 0033-2909.106.3.395 � 2018 Hogrefe Publishing Social Psychology (2018), 49(2), 103–112 A. Panno et al., Need for Closure and Pro-Environmental Behavior 111 T hi s do cu m en
  • 71. . Kruglanski, A. W. (2004). The psychology of the closed mindedness. New York, NY: Psychology Press. Kruglanski, A. W., & Webster, D. M. (1996). Motivated closing of the mind: “Seizing” and” freezing”. Psychological Review, 103, 263–283. https://doi.org/10.1037/0033-295X.103.2.263 Ksiazkiewicz, A., Ludeke, S., & Krueger, R. (2016). The Role of cognitive style in the link between genes and political ideology. Political Psychology. Advance online publication. https://doi. org/10.1111/pops.12318 MacKinnon, D. P., Krull, J. L., & Lockwood, C. M. (2000). Equiva- lence of the mediation, confounding and suppression effect. Prevention Science, 1, 173–181. https://doi.org/10.1023/ A:1026595011371 Markowitz, E. M., Goldberg, L. R., Ashton, M. C., & Lee, K. (2012). Profiling the “pro-environmental individual”: A personality perspective. Journal of Personality, 80, 81–111. https://doi. org/10.1111/j.1467-6494.2011.00721.x McCrae, R. R., Costa, P. T. Jr., Ostendorf, F., Angleitner, A., Hrebícková, M., Avia, M. D., . . . Smith, P. B. (2000). Nature over nurture: Temperament, personality, and life span development. Journal of Personality and Social Psychology, 78, 173–186.
  • 72. https://doi.org/10.1037/0022-3514.78.1.173 McCright, A. M., & Dunlap, R. E. (2010). Anti-reflexivity the American conservative movement’s success in undermining climate science and policy. Theory, Culture & Society, 27, 100–133. https://doi.org/10.1177/0263276409356001 Mercado-Doménech, S. J., Carrus, G., Terán-Álvarez-Del-Rey, A., & Pirchio, S. (2017). Valuation theory: An environmental, developmental and evolutionary psychological approach. Implications for the field of environmental education. Journal of Educational, Cultural and Psychological Studies, 16, 77–97. https://doi.org/10.7358/ecps-2017-016-merc Milfont, T. L., & Duckitt, J. (2010). The environmental attitudes inventory: A valid and reliable measure to assess the struc- ture of environmental attitudes. Journal of Environmental Psychology, 30, 80–94. https://doi.org/10.1016/j.jenvp.2009. 09.001 Milfont, T. L., Richter, I., Sibley, C. G., Wilson, M. S., & Fischer, R. (2013). Environmental consequences of the desire to dominate and be superior. Personality and Social Psychology Bulletin, 39, 1127–1138. https://doi.org/10.1177/0146167213490805 Neumayer, E. (2004). The environment, left-wing political orienta- tion and ecological economics. Ecological Economics, 51, 167–175. https://doi.org/10.1016/j.ecolecon.2004.06.006 Nisbet, E. C., Hart, P. S., Myers, T., & Ellithorpe, M. (2013). Attitude change in competitive framing environments? Open-/ closed-mindedness, framing effects, and climate change.
  • 73. Journal of Communication, 63, 766–785. https://doi.org/ 10.1111/jcom.12040 Onraet, E., Van Hiel, A., Roets, A., & Cornelis, I. (2011). The closed mind: “Experience” and “cognition” aspects of openness to experience and need for closure as psychological bases for right-wing attitudes. European Journal of Personality, 25, 184–197. https://doi.org/10.1002/per.775 Panno, A., Carrus, G., Maricchiolo, F., & Mannetti, L. (2015). Cognitive reappraisal and pro-environmental behavior: The role of global climate change perception. European Journal of Social Psychology, 45, 858–867. https://doi.org/10.1002/ejsp.2162 Panno, A., Giacomantonio, M., Carrus, G., Maricchiolo, F., Pirchio, S., & Mannetti, L. (2018). Mindfulness, pro-environmental behavior, and belief in climate change: The mediating role of social dominance. Environment and Behavior. Advance on line publication. https://doi.org/10.1177/0013916517718887 Pierro, A., & Kruglanski, A. W. (2005). Revised need for cognitive closure scale. Unpublished manuscript, Universita` di Roma, “La Sapienza”, Italy, Rome. Roets, A., Kruglanski, A. W., Kossowska, M., Pierro, A., & Hong, Y. Y. (2015). Chapter four-the motivated gatekeeper of our minds: New directions in need for closure theory and research. Advances in Experimental Social Psychology, 52, 221–283. https://doi.org/10.1016/bs.aesp.01.2015.01.001 Roets, A., & Van Hiel, A. (2008). Why some hate to dilly-dally and
  • 74. others do not: The arousal-invoking capacity of decision- making for low-and high-scoring need for closure individuals. Social Cognition, 26, 333–346. https://doi.org/10.1521/soco. 2008.26.3.333 Roets, A., & Van Hiel, A. (2011a). Allport’s prejudiced personality today: Need for closure as the motivated cognitive basis of prejudice. Current Directions in Psychological Science, 20, 349–354. https://doi.org/10.1177/0963721411424894 Roets, A., & Van Hiel, A. (2011b). Item selection and validation of a brief, 15-item version of the Need for Closure Scale. Personality and Individual Differences, 50, 90–94. https://doi.org/10.1016/ j.paid.2010.09.004 Sabbagh, C. (2005). Environmentalism, right-wing extremism, and social justice beliefs among East German adolescents. Inter- national Journal of Psychology, 40, 118–131. https://doi.org/ 10.1080/00207590544000095 Schultz, P. W., & Kaiser, F. G. (2012). Promoting pro-environ- mental behavior. In S. Clayton (Ed.), The Oxford handbook of environmental and conservation psychology (pp. 556–580). Oxford, UK: Oxford University Press. Sears, D. O., & Funk, C. L. (1999). Evidence of the long-term persistence of adults’ political predispositions. Journal of Politics, 61, 1–28. https://doi.org/10.2307/2647773 Turaga, R. M. R., Howarth, R. B., & Borsuk, M. E. (2010). Pro- environmental behavior. Annals of the New York Academy of Sciences, 1185, 211–224. https://doi.org/10.1111/j.1749-
  • 75. 6632.2009.05163.x Unanue, W., Vignoles, V. L., Dittmar, H., & Vansteenkiste, M. (2016). Life goals predict environmental behavior: Cross-cultural and longitudinal evidence. Journal of Environmental Psychology, 46, 10–22. https://doi.org/10.1016/j.jenvp. 2016.02.001 Van Hiel, A., & Mervielde, I. (2002). The effects of ambiguity and need for closure on the acquisition of information. Social Cogni- tion, 20, 380–408. https://doi.org/10.1521/soco.20.5.380.21124 Van Liere, K. D., & Dunlap, R. E. (1981). Environmental concern: Does it make a difference how it's measured? Environment and Behav- ior, 13, 651–676. https://doi.org/10.1177/0013916581136001 Webster, D. M., & Kruglanski, A. W. (1994). Individual differences in need for cognitive closure. Journal of Personality and Social Psychology, 67, 1049–1062. https://doi.org/10.1037/ 0022-3514.67.6.1049 Zia, A., & Todd, A. M. (2010). Evaluating the effects of ideology on public understanding of climate change science: How to improve communication across ideological divides? Public Understanding of Science, 19, 743–761. https://doi.org/ 10.1177/0963662509357871 Received April 17, 2016 Revision received November 4, 2017
  • 76. Accepted November 6, 2017 Published online March 15, 2018 Angelo Panno Department of Education Roma Tre University Via Milazzo 11/b 00185 Rome Italy [email protected] Social Psychology (2018), 49(2), 103–112 � 2018 Hogrefe Publishing 112 A. Panno et al., Need for Closure and Pro-Environmental Behavior T hi s do cu m en t i s co py ri gh te
  • 79. s ol el y fo r t he p er so na l u se o f t he in di vi du al u se r a
  • 80. nd is n ot to b e di ss em in at ed b ro ad ly . Running head: INTERSESSION 4 FINAL PROJECT PROJECTION 1 INTERSESSION 4 FINAL PROJECT PROJECTION 9INTERSESSION 4 FINAL PROJECT PROJECTION Shalini Kantamneni Ottawa University
  • 81. Intersession4 Final Project Projection Introduction: In this week we are discussing about which cloud service model we are going to use for the organization. Assuming that the users of the software include both the home users and business users, we are considering the SaaS service model as our cloud service. Software as a Service (SaaS) Model: Before deciding the type of service model, company should consider the usage of the software by different users. Assuming that the users use the software once in year and business users may use four times in a year, we are considering SaaS model. Some of the core benefits to consider SaaS are: · Compatibility where all the users have same version of software · Global Accessibility · Patch management and automatic updates · Ready to use In this model the users can use the cloud service based on their usage. This will help the organization to reduce the cost in developing and maintaining its servers, operating systems, storage or data storage. In this service model users can use the application using different web services. Users can use the both application and configure the application based on their usage. For business users SaaS platforms like salesforce.com can be considered as it helps to avoid development of additional programming for the business users. This helps the users to use the application without installing any additional software. Even if the devices are not working the data will be secured. While using this service the user should mention if there are multiple users or the user alone use the service. By providing the number of users details the components like data storage, business components etc., can be shared with mentioned multiple users. The users need not to worry about the
  • 82. installation of software as the SaaS providers will take care of it. The SaaS applications having salesforce.com include Google Docs for document sharing, Web e-mail systems like Gmail, Yahoo and Hot mail. This model is useful for the small scale industries who have very less budget and during collaborating with multiple projects can use SaaS platform. References · Kale, Vivek. Guide to Cloud Computing for Business and Technology Managers: From Distributed Computing to Cloudwa.. [VitalSource Bookshelf]. · https://www.fingent.com/blog/cloud-service-models-saas-iaas- paas-choose-the-right-one-for-your-business · https://doublehorn.com/saas-paas-and-iaas-understanding/ · https://www.paranet.com/blog/bid/128267/the-three-types-of- cloud-computing-service-models · https://www.bluepiit.com/blog/different-types-of-cloud- computing-service-models/ · https://www.ibm.com/cloud/learn/iaas-paas-saas Reardon / PSYC 291 Writing up Results – Multiple Regression 1. Indicate what model you tested by saying what the criterion variable was and what the predictor variables were. 2. Say whether the overall regression was significant. How do you know this? Look at the p-value associated with the F statistic in the ANOVA table. Be sure to indicate the F value (with degrees of freedom), R2, and the associated p-value. You should also interpret what the value for R2 means (this is not usually done in results sections but I want you to do it for this class).
  • 83. 3. Indicate which predictor variables are significant. Be sure to include the slope (b or Beta but Beta is usually used), the standard error, and the p-value. Then, interpret the slope. (*This is not always done in actual results sections but I want you to do it.) You do not need to mention or interpret predictors that were not significant. Example: A multiple regression tested whether depression score was predicted by alcohol use, negative life events, and gender. The overall regression was significant, F(3,112) = 3.24, p < .001, R2 = .23. Together, alcohol use, negative life events and gender account for about 23% of the variability in depression scores. Alcohol use significantly predicted depression score, β = .34, SE = 1.12, p = .023. As alcohol use increased one standard deviation, depression score increased by .34 standard deviations, holding negative life events and gender constant. Gender also significantly predicted depression score, β = -.18, SE = 0.98, p = .032. Being male was associated with a decrease in depression score of .18 standard deviations, holding alcohol use and negative life events constant. * Notice that the statistics were included in such a way that even if they are taken out, it is still a complete sentence. Also notice that the letters are in italics for the reported statistics. Paper Format
  • 84. OverviewAbstractIntroductionLiterature reviewMethodResultsDiscussion Purpose of PaperPresent & describe new research findingsFindings should be put in context of current knowledge Class project AbstractConcise summary not to exceed 120 wordsShould includeInformation on the problem under studyThe nature of the sampleA description of methods, equipment, and proceduresA statement of the results (broadly, no stats)A statement of the conclusions drawn * IntroductionNeed to review and describe the research that has already been done on the topic Should include at least 5 sources Purposes of Literature ReviewTo fully describe the results from prior researchWhat is the “state of the knowledge”?
  • 85. To clearly state the purposes of the studyPurpose is to address some need To clearly state the hypotheses, which should follow logically from the literature review Literature ReviewBegin with broad introductionState & describe the problemWhy is this topic theoretically or practically important? Introduce the problem or theory Literature ReviewNext discuss the research - organize by variable or topic (not by study)Begin by summarizing the entire literature on that variable/topicPrior research either (1) supports a clear effect; (2) is mixed; or (3) is non-existent.If there is a clear effect, what is it? Current StudyWhat variable(s) are you looking atWhy is this research needed (not why it is important)Your hypothesis – what you expect your results to showShould be a separate hypothesis for each IV in your studyImportant to indicate (explicitly) why you think that is what will happen – is it based on what prior research has found?
  • 86. Research NeedResearch is “needed” if:Variable has never been investigated beforeVariable has been investigated before, but…Something was done wrongInconsistent resultsNot in all contexts (new context, new sample)Not investigated at same time as another variable Good HypothesesContain two variablesSpecify values of measured variable or levels of manipulated variablePredict whether relationship existsIndicate direction of the effectPredictive - which value or range of the measured variable has more or less of the dependent variableCausal - which level of the independent variable has more or less of the dependent variable Organization of Intro 1.unknown Method SectionPurposeTo explain to the reader exactly how you conducted your studyOther researchers should be able to replicate your study based solely on the info provided in this section
  • 87. * Method SectionParticipantsDesignProcedureMaterials and Measures * Should include each of these as separate sections - Use subheadings in italics * What to IncludeDescription of participantsHow manyDemographicsRace, Age, Gender breakdownCompensation if applicable ExampleParticipants were 250 undergraduate psychology students who participated as jurors in return for class credit. Mock jurors were predominantly Hispanic (54%), followed by African American (20%), Caucasian (15.2%), Asian (4.8%), and Other (6%). The mean age of participants was 20.4 years. A majority of participants (81.2%) were female, with no prior jury experience (98.4%).
  • 88. What to IncludeDesignType of designCorrelational / ExperimentalCorrelational designSpecify variablesExperimental designBetween/within subjects design# of Independent variablesLevels of manipulated variablesMention what the DV is * DesignCorrelational designThe design was a correlational design, examining the relationship between Variable 1 and Variable 2. Experimental designThe design was a single factor (IV: level 1 vs. level 2) between-subjects [within-subjects] design.The design was a single factor (treatment type: new vs. old) between-subjects design. DesignFactorial designThe design was a 2 (IV: level 1 vs. level 2) X 3 (IV: level 1 vs. level 2 vs. level 3) between/within subjects design… The design was a 2 (testimony: examination only vs. examination plus videotape) X 2 (ID accuracy: accurate vs. inaccurate) mixed design with testimony as a between-subjects factor, and identification accuracy as a within-subjects factor.
  • 89. What to IncludeProcedureDescription of the experimentWhat happens?What do your participants do?Be as detailed as possible – other researchers should be able to replicate your experiment * Don’t include details specific to IUP (e.g., experimenter evaluation sheets), or to you as the experimenter (e.g., tested 5 participants) What to IncludeMaterials and MeasuresDescription of any materials usedQuestionnaire – should describe it in this section ContentNumber of questionsContent of questions (give examples)Types of questions (open-ended, restricted)Scale, end points Results SectionPurpose of this sectionReport your findingsDescriptive statistics (e.g., Normality) only included if there were problems with normalityIf that is the case note that there was a problem and what you did to correct it Transformations used * Results SectionFirst paragraphExplain what you did for data analysisWhat statistical tests you applied and in what orderNote that you used SPSS 17 to conduct the analysesMake sure to note the alpha level you used for inferential tests“All statistical tests
  • 90. employed an alpha level of .05.” Results SectionThe dependent variable was analyzed with an analysis of variance (ANOVA). For all comparisons p < .05 was adopted as the criterion for establishing statistical significance. Necessary follow up comparisons were done using Bonferroni. All statistical analyses were performed with SPSS Version 16. Results SectionNext, report what you foundUse complete sentencesIncludedThe effect being evaluated Whether or not difference between treatment levels was statistically significantCritical statistic used, Degrees of freedomValue of obtained statisticLevel of significance achieved Statistical Notation Statistical Test Format Analysis of variance F (1,85) = 5.96, p < .01 Chi-square χ2(3,N = 100) = 11.34, p < .01 t test t (56) = 4.78, p < .01 z test z = 2.04, p < .05 Pearson correlation r = .87 or r = -.87 coefficient
  • 91. * Statistical NotationRound means & beta values to 2 decimal placesGive p values like this:If .000 write p < .001If between .001 and .009 write p < .01If between .010 and .044 write exact p value to 2 decimal places (so = .01 to .04)If between .045 and .050, write p < .05If between .051 and .080, give exact p value to 3 decimal placesMeans can be given in text or in Table (your choice)In text easier if few results and they are simple * Discussion SectionIn Discussion section, results are interpreted, conclusions drawn, and findings are related to previous research Section begins with a brief restatement of hypotheses Next, indicate if hypotheses were confirmed Discussion SectionConsider your results & hypotheses in light of previous research Because your hypotheses come from prior researchIf your results support your hypothesis, is more research needed? May some other variable moderate the effect? Are there different samples or methods to use to study the effect? Can a firm conclusion be reached?
  • 92. Discussion SectionIf results are not the same as hypothesized, suggest a reason why not - reason “can be investigated in future research” It is fine to speculate, but make sure speculations are supported by the data Discussion SectionPoint out any methodological problems you may have encountered during the study that could restrain some of your conclusions Should discuss real-world implications of the resultsWhat would be the effect in the real world?Would you suggest that lawyers, clinicians, employers, parents do something different? Discussion SectionNeed a part on “Directions for Future Research”Based on your results what is the next step?Other relevant variables?, replication in other contexts? Need a part on “Limitations”Any challenges to internal or external validity? Organization of Discussion 2.unknown Discussion Section Restatement of hypotheses (2) Integration of results with prior research
  • 93. (3) Discussion of real-world implications (4) Limitations (5) Directions for future research Present a general introduction to your topic Review relevant literature Link literature review to your hypotheses State your hypotheses Restate your hypotheses or major finding Tie your results with previous research and theory State broad implications of your results, methodological implications, directions for future research Reardon / Spring 2012 Final Paper Grading Sheet Name: APA Style Title page (2) Headers/ pg # (2) Font/spacing/ headings (2)
  • 94. Citations (2) References (2) / 10 points Abstract Inclusion of necessary info (3) Clarity (2) / 5 points Literature Review Organization & clarity (5) Ability to summarize research – (including appropriate number of sources) (5)
  • 95. Presentation of research need (1) Justification of hypothesis (2) Statement of hypothesis (2) / 15 points Method Inclusion of necessary sections in correct order (4) Clarity (3) Level of detail (5) Quality of design (3) / 15 points Results Miscellaneous (alpha level, program used, etc.) (2) Explanation of test used (4)
  • 96. Description of result (6) Complete sentences (3) Discussion Short summary of hypothesis (2) Integration with prior research (5) Real world implications (3) Future research (2) Limitations (3) / 15 points Writing & Grammar
  • 97. / 15 points Total: / 90 points GET FILE='C:UsersqhtwAppDataLocalPackagesMicrosoft.Micro softEdge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (1).sav'. DATASET NAME DataSet1 WINDOW=FRONT. GET FILE='C:UsersqhtwAppDataLocalPackagesMicrosoft.Micro softEdge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (3).sav'. DATASET NAME DataSet2 WINDOW=FRONT. DATASET ACTIVATE DataSet1. SET TLook=None Small=0.0001 SUMMARY=None THREADS=AUTO TFit=Both DIGITGROUPING=No LEADZERO=No TABLERENDER=light. SET Small=0.0001 THREADS=AUTO DIGITGROUPING=No LEADZERO=No. FREQUENCIES VARIABLES=Gender Race Polit_Party /ORDER=ANALYSIS.
  • 98. Frequencies Notes Output Created 14-NOV-2019 09:47:36 Comments Input Data C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd ge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (1).sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 96 Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
  • 99. Cases Used Statistics are based on all cases with valid data. Syntax FREQUENCIES VARIABLES=Gender Race Polit_Party /ORDER=ANALYSIS. Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.00 [DataSet1] C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd ge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (1).sav Statistics Preferred Gender Race When it comes to voting, with which party do you consider yourself to be affiliated? N Valid 94 95 96 Missing
  • 100. 2 1 0 Frequency Table Preferred Gender Frequency Percent Valid Percent Cumulative Percent Valid Male 26 27.1 27.7 27.7 Female 68 70.8 72.3 100.0 Total 94 97.9 100.0 Missing System
  • 102. Native Hawaiian or Other Pacific Islander 3 3.1 3.2 100.0 Total 95 99.0 100.0 Missing System 1 1.0 Total 96 100.0 When it comes to voting, with which party do you consider yourself to be affiliated? Frequency Percent Valid Percent Cumulative Percent Valid Strong Democrat 19 19.8
  • 103. 19.8 19.8 Not a very strong Democrat 25 26.0 26.0 45.8 Strong Republican 6 6.3 6.3 52.1 Not a very strong Republican 9 9.4 9.4 61.5 Independent/Unaffiliated 37 38.5 38.5 100.0 Total 96 100.0 100.0 DESCRIPTIVES VARIABLES=Age Political_Leaning Knowledge_proportion /STATISTICS=MEAN STDDEV MIN MAX.
  • 104. Descriptives Notes Output Created 14-NOV-2019 09:52:15 Comments Input Data C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd ge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (1).sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 96 Missing Value Handling Definition of Missing
  • 105. User defined missing values are treated as missing. Cases Used All non-missing data are used. Syntax DESCRIPTIVES VARIABLES=Age Political_Leaning Knowledge_proportion /STATISTICS=MEAN STDDEV MIN MAX. Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.00 Descriptive Statistics N Minimum Maximum Mean Std. Deviation Age 94 18 53 19.43 3.823 When it comes to most political issues, do you think of yourself as a...? 95 1 7 3.45 1.420
  • 106. Environmental knowledge proportion 96 .00 91.67 46.7014 17.99444 Valid N (listwise) 93 REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Eviron_attitude1 /METHOD=ENTER Eviron_attitude2 Political_att_general Environ_Knowl. Regression Notes Output Created 14-NOV-2019 09:59:25 Comments Input Data
  • 107. C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd ge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (1).sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 96 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Eviron_attitude1 /METHOD=ENTER Eviron_attitude2 Political_att_general Environ_Knowl. Resources
  • 108. Processor Time 00:00:00.02 Elapsed Time 00:00:00.02 Memory Required 19184 bytes Additional Memory Required for Residual Plots 0 bytes Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Environmental knowledge, Political attitudes, Environ Attitude 2: Nature is for Humansb . Enter a. Dependent Variable: Environ Attitude 1: Environment is threatened b. All requested variables entered. Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1
  • 109. .659a .434 .413 2.996 a. Predictors: (Constant), Environmental knowledge, Political attitudes, Environ Attitude 2: Nature is for Humans ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 577.463 3 192.488 21.445 .000b Residual 753.991 84 8.976 Total 1331.455 87
  • 110. a. Dependent Variable: Environ Attitude 1: Environment is threatened b. Predictors: (Constant), Environmental knowledge, Political attitudes, Environ Attitude 2: Nature is for Humans Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 28.100 2.409 11.663 .000 Environ Attitude 2: Nature is for Humans -.397 .081 -.487 -4.919 .000 Political attitudes
  • 111. -.084 .037 -.211 -2.263 .026 Environmental knowledge -.227 .158 -.126 -1.432 .156 a. Dependent Variable: Environ Attitude 1: Environment is threatened REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Environ_Behavior /METHOD=ENTER Eviron_attitude2 Political_att_general Environ_Knowl Eviron_attitude1. Regression Notes Output Created 14-NOV-2019 10:15:06 Comments
  • 112. Input Data C:UsersqhtwAppDataLocalPackagesMicrosoft.MicrosoftEd ge_8wekyb3d8bbweTempStateDownloadsPSYC 291 Environmental Survey - Fall 2019_November 12, 2019_14.18 (1).sav Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 96 Missing Value Handling Definition of Missing User-defined missing values are treated as missing. Cases Used Statistics are based on cases with no missing values for any variable used. Syntax REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Environ_Behavior
  • 113. /METHOD=ENTER Eviron_attitude2 Political_att_general Environ_Knowl Eviron_attitude1. Resources Processor Time 00:00:00.03 Elapsed Time 00:00:00.03 Memory Required 19760 bytes Additional Memory Required for Residual Plots 0 bytes Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Environ Attitude 1: Environment is threatened, Environmental knowledge, Political attitudes, Environ Attitude 2: Nature is for Humansb . Enter a. Dependent Variable: Environmental behavior b. All requested variables entered. Model Summary Model R R Square
  • 114. Adjusted R Square Std. Error of the Estimate 1 .401a .160 .119 18.301 a. Predictors: (Constant), Environ Attitude 1: Environment is threatened, Environmental knowledge, Political attitudes, Environ Attitude 2: Nature is for Humans ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 5184.017 4 1296.004 3.869 .006b Residual 27129.471 81 334.932 Total
  • 115. 32313.488 85 a. Dependent Variable: Environmental behavior b. Predictors: (Constant), Environ Attitude 1: Environment is threatened, Environmental knowledge, Political attitudes, Environ Attitude 2: Nature is for Humans Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 98.000 23.970 4.088 .000 Environ Attitude 2: Nature is for Humans 1.441 .561 .358
  • 116. 2.570 .012 Political attitudes .040 .236 .020 .168 .867 Environmental knowledge -.227 .994 -.025 -.229 .820 Environ Attitude 1: Environment is threatened -.301 .672 -.061 -.449 .655 a. Dependent Variable: Environmental behavior PSYC 291 Environmental Survey Fall 2019 Environmental Attitudes Source: Milfont, T., & Duckitt, J. (2010). The environmental attitudes inventory: A valid and reliable measure to assess the structure of environmental attitudes. Journal of Environmental Psychology, 30(1), 80-94.
  • 117. Please rate your agreement with these statements. Strongly Disagree Strongly Agree 1 2 3 4 5 6 7 A1. If things continue on their present course, we will soon experience a major ecological catastrophe. A2. When humans interfere with nature it often produces disastrous consequences. A3. Humans are severely abusing the environment. A4. The idea that we will experience a major ecological catastrophe if things continue on their present course is misguided nonsense. (R) A5. It is all right for humans to use nature as a resource for economic purposes. A6. Protecting peoples’ jobs is more important than protecting the environment. A7. People have been giving far too little attention to how human progress has been damaging the environment. (R) A8. Protecting the environment is more important than protecting economic growth. (R) A9. We should no longer use nature as a resource for economic purposes. (R)
  • 118. A10. The benefits of modern consumer products are more important than the pollution that results from their production and use. Political Attitudes Source: Harvard Kennedy School Institute of Politics (2019). Survey of young Americans’ attitudes toward politics and public service. Retrieved from Harvard Kennedy School Institute of Politics Website: https://iop.harvard.edu/sites/default/files/content/190419_Harva rd%20IOP%20Spring%202019_Topline.pdf. P1. When it comes to voting, with which party do you consider yourself to be affiliated? Strong Democrat Not a very strong Democrat Strong Republican Not a very strong Republican Independent/Unaffiliated P2. When it comes to most political issues, do you think of yourself as a...? Liberal Conservative 1 2 3 4 5 6
  • 119. 7 P3. Do you consider yourself to be a proud member of your party, or not? Yes, I am proud No, I am not P4. How likely is it that you will vote in the general election for President in November 2020? Definitely will be voting Probably will be voting Probably won't be voting Definitely won't be voting P5. How likely is it that you will vote in your state’s primary or caucus for President in 2020? Definitely will be voting Probably will be voting Probably won't be voting Definitely won't be voting P6. Thinking about national issues for a moment, which issue concerns you most? Immigration Economy National Debt/budget deficit Taxes Financial Stability Unemployment/Jobs Environment/Global Warming President Trump/Ineffective leadership Health Care Racial Issues Gun Control/Second Amendment Issues Abortion Safety/Security
  • 120. Education Government/Political Corruption Political Partisanship/Divide Housing Moral Issues Equality/Equal Rights Women’s Rights Foreign Policy Other None P7. Approximately how many times a day do you check your phone (including social media) for news and current events related content? 0 times 1-5 times 6-10 times 11-20 times 21+ times P8. On which of the following platforms, if any, do regularly access for news and current events related content? (multiple responses allowed) Facebook Instagram Twitter Snapchat None of them Below is a list of statements about politics. Do you agree or disagree with these statements? Strongly Disagree
  • 121. Strongly Agree 1 2 3 4 5 6 7 P9. Donald Trump cares about people like me. P10. The Republican party cares about people like me. P11. The Democratic party cares about people like me. P12. Voters who are part of the Baby Boomer generation (age 55 to 73) care about people like me. P13. Elected officials who are part of the Baby Boomer generation (age 55 to 73) care about people like me. P14. Community service is an honorable thing to do. P15. I want to do what I can to help unite, not further divide, America. P16. Elected officials seem to be motivated by selfish reasons. P17. I am confident that I will be allowed to cast a ballot and have it counted in the 2020 Presidential election. P18. Despite our challenges, I would rather live in America than any other place. P19. Elected officials don’t seem to have the same priorities I have. P20. I feel like the government does not represent the America I love. P21. Politics has become too partisan. P22. I feel like I need more practical information about politics before I get involved. P23. Politics today are no longer able to meet the challenges our country is facing. P24. People like me don’t have any say about what the
  • 122. government does. P25. Running for office is an honorable thing to do. P26. I don’t believe my vote will make a real difference. P27. The idea of working in some form of public service is appealing to me. P28. Political involvement rarely has any tangible results. P29. The results of my previous involvement in politics have left me disappointed. P30. Politics is not relevant to my life right now. P31. It really doesn’t matter to me who the President is. P32. Based on the current state of the economy, how easy or difficult do you think it will be for students in your class to find a permanent job upon graduation? Very easy Somewhat easy Somewhat difficult Very difficult Environmental Behaviors Sources: Oreg, S., Katz-Gerro, T. (2006). Predicting proenvironmental behavior cross-nationally: Values, the theory of planned behavior, and value-belief-norm theory. Environment and Behavior, 38(4), 462-483. Lynn, P. (2014). Distinguishing dimensions of pro- environmental behavior. ISER Working Paper Series, No. 2014- 19, University of Essex, Institute for Social and Economic Research (ISER), Colchester. Please rate the extent to which you do the following: Never Always
  • 123. 1 2 3 4 5 6 7 B1. Leave your TV on at night. (R) B2. Switch off lights in rooms that aren’t being used. B3. Keep the tap running while you brush your teeth. (R) B4. Put more clothes on when you feel cold rather than putting the heating on or turning it up. B5. Decide not to buy something because you feel it has too much packaging. B6. Buy recycled paper products such as toilet paper or tissues. B7. Take your own shopping bag when shopping. B8. Use public transportation rather than travel by car. B9. Walk or bike for trips less than two or three miles. B10. Car share with others who need to make a similar trip. B11. Take fewer flights B12. In the winter, I keep the heat at such a temperature that I can wear light clothing inside my house. (R) B13. In winter, I leave the windows of my house open for long periods of time to air the house. (R) B14. In winter, I turn off the heat in my house at night. B15. In winter, when I leave my house for more than 30 minutes, I turn off the heat. B16. I make the most use out of natural light. B17. I turn off any lights I am not using. B18. I unplug any electrical appliances I am not using. B19. I buy biodegradable detergents to wash laundry. B20. I buy organic products. B21. I buy rechargeable batteries. B22. I buy energy-efficient light bulbs. B23. I buy products in reusable or returnable containers.
  • 124. B24. After spending a day outside, I leave the site as clean as it was when I got there. B25. I visit national parks and/or nature reserves. B26. I try to repair leaky faucets quickly. B27. I leave the water running in the shower until it reaches the proper temperature. (R) B28. I try to turn off the faucet when I brush my teeth. B29. I wait until I have a full load of laundry before putting it in the washing machine. B30. I drive in such a way to minimize the amount of gas I consume. B31. I sort papers and cardboard for recycling. Environmental Knowledge Sources: Murphy, T. P. (2004). The Second Minnesota Report Card on Environmental Literacy. The Second Minnesota Report Card on Environmental Literacy. Minnesota Office of Environmental Assistance. Retrieved from https://www.pca.state.mn.us/sites/default/files/p-ee5-06.pdf O’Brien, S. R. (2007). Indications of environmental literacy: Using a new survey instrument to measure awareness, knowledge, and attitudes of university-aged students. Retrieved from http://www.academia.edu/34876091/Indications_of_environmen tal_literacy_using_a_new_survey_instrum_2 K1. Compared to other students in your college and/or department, how much do you feel you know about environmental issues and problems in general? 1. A lot
  • 125. 2. A reasonable amount 3. A little 4. Almost nothing 5. Nothing 6. Don't know K2. What are your primary sources for environmental information? Check as many as applicable: 1. TV 2. Radio 3. Internet 4. Magazines 5. Newspaper 6. Classes/courses 7. Books 8. Library 9. Friends/ relatives 10. Other 11. None K3. During the past 10 years, do you think that the overall quality of the planet's environment has 1. Improved a lot 2. Somewhat improved 3. Stayed the same 4. Somewhat declined 5. Declined a lot 6. Don't know K4. What is the most common cause of pollution of streams, rivers and oceans? Dumping of garbage by cities, Surface water running off yards, city streets, paved lots, and farm fields,**
  • 126. Trash washed into the ocean from beaches Waste from factories Other K5. Thinking about the country as a whole, how is most of the electricity in the U.S. generated? By burning fossil fuels, such as coal and oil,** With nuclear power Through solar energy At hydroelectric power plants Other K6. Carbon monoxide is a major contributor to air pollution in the U.S. Which of the following is the biggest source of carbon monoxide? Factories and businesses People breathing Motor vehicles** Trees Other K7. What is one of the main benefits of wetlands? Help to control global climate change Help filter and store water before it enters lakes, streams, rivers or oceans** Prevent the spread of undesirable plants and animals Provide good sites for landfills Other K8. What do you think is the main cause of global climate change, that is, the warming of the planet Earth? A recent increase in oxygen in the atmosphere
  • 127. Sunlight radiating more strongly through a hole in the upper ozone layer More carbon emissions from autos, homes and industry** Increased activity from volcanoes worldwide You don’t believe there is global climate change K9. Many communities are concerned about running out of space in their community trash dumps and landfills. The greatest source of landfill material is Disposable diapers Lawn and garden clippings, trimmings and leaves Paper products including newspapers, cardboard and packing** Glass and plastic bottles and aluminum and steel cans Other K10. Where does most of the energy that people use worldwide come from? 1. Fossil fuels*** 2. Wind power 3. Hydro power 4. Nuclear power 5. Don't know K11. Which of the following is a non-renewable resource? 1. White-tailed deer 2. Fresh water 3. Oil *** 4. Trees 5. Don't know K12. To maintain healthy woodlands and forests, we must: 1. Leave them alone
  • 128. 2. Check them every 40-50 years 3. Carefully manage them, including some trimming and cutting *** 4. Maintain abundant wildlife populations 5. None of the above K13. Sustainable agriculture aims to... 1. Produce enough food to sustain human society 2. Meet the demand for food at any costs 3. Produce enough food while maintaining stable economic costs 4. Produce enough food while maintaining a stable environment 5. Meet the requirement for food while maintaining a healthy social, economic, and ecological environment *** 6. Don't know K14. What is the most common cause for plant and animal species to become extinct? 1. Predation by other species 2. Habitat loss and fragmentation *** 3. Temperature change 4. Competition between species 5. Don't know K15. If one is to say a species exceeded the carrying capacity of its habitat, it means that: 1. It no longer has enough food, water, and cover available to sustain the species in its current condition for an indefinite future *** 2. It no longer has enough food, water, and cover available to sustain the species at all anymore 3. It no longer has enough food, water, and cover available to share with other species 4. None of the above 5. Don't know
  • 129. Demographic Questions Source: Written by researchers Please answer the following demographic questions. Preferred Gender Male Female Other Race White Black/African American Asian American Indian or Alaska Native Native Hawaiian or Other Pacific Islander Age __________ Name (for credit granting purposes only, your name will be deleted once credit is given) ________________________________________________ ___________ APA Style
  • 130. OverviewLanguageParts of research paperAPA styleIn-text citationsReferences Avoiding Biased LanguageAPA committed to fair treatment of individuals and groups“APA publications [have] to avoid perpetuating demeaning attitudes and biased assumptions about people in their writing” (pg. 61) Describe at appropriate level of specificity“Gay” vs. “gay men and lesbians”Only mention differences (e.g., marital status, sexual orientation) when they are relevant APA = American Psychological Association GuidelinesBe sensitive to labelsCall people what they prefer to be called (this may change over time)Avoid labels that cause people to lose their individualityE.g., “the elderly” vs. “elderly participants” or “people that are elderly” Acknowledge participationUse active voice“Our study included 60 people” vs. “Sixty people participated”Use the term “participants” instead of “subjects” Best to be more specific (e.g., instead of asian american note their region of origin – chinese american) Don’t use offensive labels (oriental vs. asian) Revise the FollowingThe participants were asked to think of their favorite teacher from elementary school and to rate her on the 20 evaluative dimensions.