Business 103 – Overview of Business History
Spring 2014
Length: Two to Three Typed Pages
Content:
Research a Business Leader that has made a significant impact on United States Business History. For that leader, you should include the following information.
1. Leader Biography
2. Traits that seem to be important to the leader’s success. For example, is / was the leader instrumental in change? Worked long hours?
3. What is the leader’s impact on United States Business History?
Please research thoroughly. Cite sources at the end of the paper.
You may NOT choose a leader that we have discussed or will discuss in class.
相似度要在25%以下
Business leader: Thomas Adams Jr. was born on April 11, 1846 in Brooklyn, New York.
Business
103
–
Overview
of
Business
History
Spring
2014
Length:
Two
to
Three
Typed
Pages
Content:
Research
a
Business
Leader
that
has
made
a
significant
impact
on
United
States
Business
History.
For
that
leader,
you
should
include
the
following
information.
1.
Leader
Biography
2.
Traits
that
seem
to
be
important
to
the
leader
’
s
success.
For
example,
is
/
was
the
leader
instrumental
in
change?
Worked
long
hours?
3.
What
is
the
leader
’
s
impact
on
United
States
Business
History?
Please
research
thoroughly.
Cite
sources
at
the
end
of
the
paper.
You
may
NOT
choose
a
leader
that
we
have
discussed
or
will
discuss
in
class.
ÏàËƶÈÒªÔÚ
25%
ÒÔÏÂ
Business
leader:
Thomas
Adams
Jr.
was
born
on
April
11,
1846
in
Brooklyn,
New
York.
Statistics Exercise 28
RESEARCH ARTICLE
Source: Zalon, M. L. (2004). Correlates of recovery among older adults after major abdominal surgery. Nursing Research, 53 (2), 99–106.
Introduction
Zalon (2004) conducted a predictive correlational study to determine whether the independent variables of pain, depression, and fatigue were predictive of older adults’ return to functional status and self-perception of recovery after abdominal surgery. The study involved adults who were 60 years of age or older who had undergone major abdominal surgery. “Data were collected during hospitalization (n = 192), then 3–5 days (n = 141), 1 month (n = 132), and 3 months after discharge to home (n = 126) using the Brief Pain Inventory, the Geriatric Depression Scale-Short Form, the Modified Fatigue Symptom Checklist, the Enforced Social Dependence Scale, and the Self-Perception of Recovery Scale” (Zalon, 2004, p. 99). The conclusions of the study were that pain, depression, and fatigue are predictive of the functional status and self-perception of recovery in older adults following surgery. Interventions are needed to reduce pain, depression, and fatigue to improve the postoperative recovery of older adults.
Research Study Results
Zalon (2004) conducted Pearson r correlations among the independent variables pain, depression, and fatigue, and with the dependent variables functional status and self-perception of recovery. These variables were correlated at hospitalization, 3–5 days post-discharge, 1 month post-discha ...
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Business 103 – Overview of Business HistorySpring 2014Length.docx
1. Business 103 – Overview of Business History
Spring 2014
Length: Two to Three Typed Pages
Content:
Research a Business Leader that has made a significant impact
on United States Business History. For that leader, you should
include the following information.
1. Leader Biography
2. Traits that seem to be important to the leader’s success. For
example, is / was the leader instrumental in change? Worked
long hours?
3. What is the leader’s impact on United States Business
History?
Please research thoroughly. Cite sources at the end of the
paper.
You may NOT choose a leader that we have discussed or will
discuss in class.
相似度要在25%以下
Business leader: Thomas Adams Jr. was born on April 11,
1846 in Brooklyn, New York.
Business
103
–
Overview
of
Business
History
5. Jr.
was
born
on
April
11,
1846
in
Brooklyn,
New
York.
Statistics Exercise 28
RESEARCH ARTICLE
Source: Zalon, M. L. (2004). Correlates of recovery among
older adults after major abdominal surgery. Nursing Research,
53 (2), 99–106.
Introduction
Zalon (2004) conducted a predictive correlational study to
determine whether the independent variables of pain,
depression, and fatigue were predictive of older adults’ return
to functional status and self-perception of recovery after
abdominal surgery. The study involved adults who were 60
years of age or older who had undergone major abdominal
surgery. “Data were collected during hospitalization (n = 192),
then 3–5 days (n = 141), 1 month (n = 132), and 3 months after
discharge to home (n = 126) using the Brief Pain Inventory, the
Geriatric Depression Scale-Short Form, the Modified Fatigue
Symptom Checklist, the Enforced Social Dependence Scale, and
the Self-Perception of Recovery Scale” (Zalon, 2004, p. 99).
The conclusions of the study were that pain, depression, and
fatigue are predictive of the functional status and self-
perception of recovery in older adults following surgery.
6. Interventions are needed to reduce pain, depression, and fatigue
to improve the postoperative recovery of older adults.
Research Study Results
Zalon (2004) conducted Pearson r correlations among the
independent variables pain, depression, and fatigue, and with
the dependent variables functional status and self-perception of
recovery. These variables were correlated at hospitalization, 3–
5 days post-discharge, 1 month post-discharge, and 3 months
post-discharge, and the correlation values are presented in Table
2. It is assumed that alpha was set at 0.05 for this study.
SEE NEXT PAGE FOR TABLE 2.
Zalon, M.L. (2004). Correlates of recovery among older adults
after major abdominal surgery. Nursing Research, 53 (2), p.
104.
Multiple regression analysis was conducted to determine if pain,
depression, and fatigue were predictive of functional status and
self-perception of recovery. The results of the multiple
regression analysis indicated that pain, depression, and fatigue
are significantly predictive of the patient's self-perception of
recovery and functional status. “Pain, depression, and fatigue
explained 13.4% of the variation in functional status at 3 to 5
days, 30.8% at 1 month, and 29.1% at 3 months after discharge.
These three factors also explain 5.6% of the variation in self-
perception of recovery during hospitalization, 12.3% at 3 to 5
days, 33.2% at 1 month, and 16.1% at 3 months after
discharge…. Pain, depression, and fatigue are important factors
to consider in the provision of care to abdominal surgery
patients with a relatively uncomplicated postoperative course.
Specific interventions to reduce pain, depression, and fatigue
need to be evaluated for their impact on the postoperative
recovery of older adults” (Zalon, 2004, p. 99) (see Table 3).
1. Was multiple regression analysis the appropriate analysis
technique to conduct in this study? Provide a rationale for your
7. answer.
2. Which independent variable had the strongest correlation
with self-perception of recovery at 1 month after discharge?
Provide a rationale for your answer.
3. Were the independent variables pain, depression, and fatigue
significantly correlated with self-perception of recovery at 1
month after discharge? Provide a rationale for your answer.
4. Did multicollinearity occur in this study? Provide a rationale
for your answer.
5. Did the regression results indicate that pain, depression, and
fatigue provided a greater prediction of self-perception of
recovery at 1 month after discharge, or at 3–5 days post-
discharge? Provide a rationale for your answer.
6. What was the percentage of variance explained by the
regression analysis for self-perception of recovery at 1 month
after discharge? Provide your calculations.
7. What was the percentage of variance explained by the
regression analysis for functional status at 1 month after
discharge? Provide your calculations.
8. Was the percentage of variance explained for self-perception
of recovery lower than the percentage of variance explained for
functional status at 1 month after discharge? Discuss the
meaning of these results.
9. Discuss the multiple regression analysis results for self-
perception of recovery following discharge. What do these
results indicate for practice?
10. Are these results ready to be generalized to older adults
8. after other types of surgery, such as joint replacement? Provide
a rationale for your answer.
Exercise #40
RESEARCH ARTICLE
Source: Salsberry, P. J. (2003). Why are some children still
uninsured? Journal of Pediatric Health Care, 17 (1), 32−8.
Introduction
In an effort to understand why children remain uninsured,
Salsberry (2003) interviewed low-income parents in Ohio and
compared children with and without insurance. This cross-
sectional survey design included a sample of 392 low-income
parents. Subjects were chosen from two groups, those with a
Medicaid history (n = 305) and those without a Medicaid
history (n = 120). Those without a Medicaid history were
chosen randomly. Results indicated specific profiles for
different levels of insurance. These levels of insurance include
uninsured, Medicaid-enrolled, and privately insured.
“Statistically significant differences were found across the three
groups in income, working status of the adults, education,
health status of the adult and child, and in the utilization of
health care” (Salsberry, 2003, p. 38). “Parents of the uninsured
children were less knowledgeable about the application process.
… Parents of uninsured children face multiple life challenges
that may interfere with the enrollment process. Health
problems, work schedules, and lack of knowledge may all need
to be addressed before we can decrease the number of uninsured
children in our nation” (Salsberry, 2003, p. 32)
Relevant Study Results
Table 1 on next page
And 10 questions to follow
In Table 1, Salsberry (2003) presents the demographic
9. characteristics of the sample by level of insurance (uninsured,
Medicaid-enrolled, and privately insured).
1. According to the “Introduction,” what categories were
reported to be statistically significant?
2. In Table 1, is the No. in household reported as statistically
significant among the three groups (uninsured, Medicaid, and
privately insured)? Provide a rationale for your answer.
3. Should the null hypothesis for Marital Status (%) be rejected?
Provide a rationale for your answer.
4. How many null hypotheses were rejected in the Salsberry
(2003) study? Provide a rationale for your answer.
5. Does Marital Status or Education (of adults) have a greater
statistically significant difference among the three groups
(uninsured, Medicaid, or privately insured)? Provide a rationale
for your answer.
6. Was there a significant difference in Working status for the
three levels of insurance (uninsured, Medicaid-enrolled, and
privately insured)? Provide a rationale for your answer.
7. State the null hypothesis for level of insurance and Gender–%
female.
8. Should the null hypothesis for Question 7 be accepted or
rejected? Provide a rationale for your answer.
9. In your own opinion, were the outcomes of this study what
you expected?
10. In your own opinion, should the results of this study be
10. generalized to other State Children's Health Insurance Programs
(SCHIPs)? Provide a rationale for your answer.