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8/8/2016
1
(C) 2016: Students of PSYC344 Summer Course – GGU
GRIT
Design & Preliminary Validation of a
Personality Assessment
GOLDEN GATE UNIVERSITY
PSYC344 – TESTS & ASSESSMENTS (SUMMER, 2016)
This report contains preliminary results from a beta-testing of a newly developed assessment
designed by Master’s students of psychology (I/O, Counseling, MFT) attending the
Golden Gate University’s “Tests & Assessments” course.
(C) 2016: Students of PSYC344 Summer Course – GGU 2
Content
Project Summary
Thank you & Designers
1. About the GRIT Assessment
 Definition
 Major factors and subfactors
 Demographic Breakdown (of participants)
2. Reliabilities
3. Factor analyses
4. GRIT scores by demographic groups
5. GRIT validation
6. Variance analyses
7. Results summary
(C) 2016: Students of PSYC344 Summer Course – GGU 3
Project Summary
Present project was carried out by students enrolled
in PSYC344 – Tests and Assessments (Summer, 2016)
course – offered at the Golden Gate University.
Major aim of the course is to introduce Master’s
level students in psychology (I/O, Counseling, MFT)
to basic concepts in assessment design and
validation.
Results of this report are based on our initial data
collection (beta); hence, is preliminary and should
be interpreted with caution. A standard assessment
design and validation process involves multiple data
collection phases.
8/8/2016
2
(C) 2016: Students of PSYC344 Summer Course – GGU 4
Thank you!
The completion of this project would not
have been possible without the help of those
who took the time to complete the
assessment. Hence, we would like to
sincerely thank all those who participated in
the data collection phase of this assessment.
 Data collection period: July 6 – July 15, 2016
 Total # of participants who started the assessment: 197
 Total # of participants who completed the assessment in
its entirety: 171
(C) 2016: Students of PSYC344 Summer Course – GGU 5
Designers
Students:
Matthan Churchill
Scott Harris
Toni Martin
Suzanne Mekenkamp
Rehab Nada
Katherine Orozco
Shirin Pradhan
Wayne Seeley
Wenting (Gloria) Zhang
Patrick McAndrew
Instructor: Stephen B. Jeong, Ph.D.
(C) 2016: Students of PSYC344 Summer Course – GGU
1. About the GRIT Assessment
8/8/2016
3
(C) 2016: Students of PSYC344 Summer Course – GGU 7
Definition
Gritological Rating Intensity Test
GRIT is viewed as a personality construct and is
defined as the degree to which a person “sees
things through” (i.e., persists) regardless of the
challenges / obstacles to its resolution.
(C) 2016: Students of PSYC344 Summer Course – GGU 8
Factors & Sub-factors
Resilience
(Sub-factor1)
Courage
(Sub-factor2)
Emotional
Toughness
(Sub-factor3)
GRIT
GRIT is conceptualized as consisting of three related sub-
factors: Resilience, Courage, and Emotional Toughness. A
preliminary set of 27 items were developed and analyzed.
(C) 2016: Students of PSYC344 Summer Course – GGU 9
Gender
Female respondents
outnumber male respondents
by more than double
8/8/2016
4
(C) 2016: Students of PSYC344 Summer Course – GGU 10
Age
50% of the participants who took
the assessment ranged in age
from 31 to 45
(C) 2016: Students of PSYC344 Summer Course – GGU 11
Age Same information in graphical
format
(C) 2016: Students of PSYC344 Summer Course – GGU 12
Ethnicity
64% of the participants who took
the assessment were either
Caucasian or Hispanic/Latino
8/8/2016
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(C) 2016: Students of PSYC344 Summer Course – GGU 13
Ethnicity Same information in graphical
format
(C) 2016: Students of PSYC344 Summer Course – GGU 14
Education
Nearly half of the participants who
took the assessment had either a
Bachelor’s or Master’s degree
(C) 2016: Students of PSYC344 Summer Course – GGU 15
Education (percentages)
0.5
2
21.3
10.2
24.9
22.8
0.5
1.5
3
Education
High school (grades 9-12, no degree) High school graduate (or equivalent)
Some college (1-4 years, no degree) Associate's degree (including occupational or academic degrees)
Bachelor's degree (BA, BS, AB, etc) Master's degree (MA, MS, MENG, MSW, etc)
Professional school degree (MD, DDC, JD, etc) Doctorate degree (PhD, EdD, etc)
Prefer not to answer
Same information in graphical
format
8/8/2016
6
(C) 2016: Students of PSYC344 Summer Course – GGU 16
SES (Income Level)
Frequency % Valid % Cumulative %
<$50,000 36 18.3 18.3 32
$51,000 to $100,000 63 32 32 89.8
$101,000 to $150,000 30 15.2 15.2 51.8
$151,000 to $200,000 12 6.1 6.1 57.9
>$200,000 9 4.6 4.6 36.5
Prefer not to answer 20 10.2 10.2 100
Total 197 100 100
This information should be self-
explanatory
(C) 2016: Students of PSYC344 Summer Course – GGU 17
Faith/Spirituality
A little over half of the participants
who took the assessment reported
being Christian
(C) 2016: Students of PSYC344 Summer Course – GGU 18
Faith Same information in graphical
format
8/8/2016
7
(C) 2016: Students of PSYC344 Summer Course – GGU 19
Number of Siblings
Frequency Percent Valid % Cumulative %
None (only child) 15 7.6 7.6 98.5
1 35 17.8 17.8 47.2
2 43 21.8 21.8 69
3 31 15.7 15.7 84.8
4 12 6.1 6.1 90.9
>5 30 15.2 15.2 29.4
Prefer not to answer 3 1.5 1.5 100
Did not answer 28 14.2 14.2 14.2
Total 197 100 100
Thinking that “maybe” the number of
siblings one has might correlate with GRIT,
we asked participants about this...
We’ll see if they do in later slides...
(C) 2016: Students of PSYC344 Summer Course – GGU 20
Number of Siblings
0
5
10
15
20
25
None
(only
child)
1 2 3 4 >5 Prefer not
to answer
Did not
answer
Number of Siblings (%)
Same information in graphical
format
(C) 2016: Students of PSYC344 Summer Course – GGU 21
Self-Rating of Resilience
This question asked participants
to rate themselves on RESILIENCE
using a 10-point scale (10 being
highly resilient).
No one reported a RESILIENCE
rating less than 4
8/8/2016
8
(C) 2016: Students of PSYC344 Summer Course – GGU 22
Self-Rating of Resilience Same information in graphical
format
(C) 2016: Students of PSYC344 Summer Course – GGU
2. How “reliable” is the new GRIT
assessment?
NOTE: Reliability(as measuredby Cronbach’s Alphahere)
indicatesthe degreeto which the itemsin each subscale(e.g.,
courage,resilience,and emotionaltoughness)are similarly
measuringthe abstract concept that we are callingGRIT. We
arelookingforanAlphavalueof0.7or above.
(C) 2016: Students of PSYC344 Summer Course – GGU 24
Factor 1: RESILIENCE
Reliabilities (Coefficient Alpha)
197 people started the survey
but 172 completed all items
in the survey
Alpha is slightly short of the
ideal (0.70) but not bad for
beta phase
8/8/2016
9
(C) 2016: Students of PSYC344 Summer Course – GGU 25
Factor 2: COURAGE
Reliabilities (Coefficient Alpha)
Few of the items from this
sub-factor will need to be
revised but still not bad
197 people started the survey
but 172 completed all items
in the survey
(C) 2016: Students of PSYC344 Summer Course – GGU 26
Factor 3: EMOTIONAL TOUGHNESS
Reliabilities (Coefficient Alpha)
Excellent Alpha – especially
for first-round data collection
197 people started the survey
but 172 completed all items
in the survey
(C) 2016: Students of PSYC344 Summer Course – GGU
3. Principle Components Analysis
Results
NOTE: Principle ComponentAnalysisis a data reduction
technique similarto factor analysiswherebyan optimal
number of dimensionsis extracted fromthe datasetconsisting
of 27 items(in our GRITassessment)
8/8/2016
10
(C) 2016: Students of PSYC344 Summer Course – GGU 28
Principle Component
Analysis Results
>1
Although the Scree Plot here
shows a total of 8-factors
above Eigenvalue of 1, it
appears that our GRIT
assessment can be reduced to
two factors (as shown by
leveling after the steep drop)
(C) 2016: Students of PSYC344 Summer Course – GGU 29
Principle Component
Analysis Results
Table to the right shows
what are referred to as
factor loadings.
Typically, factor loadings of
>0.4 are considered to be
sufficiently high enough to
add value.
If you count the total
number of factor loadings in
each column, you can see
that the # of items with a
loading of 0.4 or higher are
primarily in the first two
columns; confirming that
our GRIT assessment
contains two main factors
(C) 2016: Students of PSYC344 Summer Course – GGU
4. GRIT Score Analysis by
Demographic Variables
NOTE: Here, we are examiningoverallGRIT scores for different
segmentsof our participantsample– e.g., age,gender,
ethnicity,etc. Look for the MEAN score for each group. Higher
the MEAN, the more GRIT an individual(or group in this case) is
said to possess.
Important Caveat:
Results are based on pilot data with items that are still in
development-- we must be very careful to draw firm conclusions !!
8/8/2016
11
(C) 2016: Students of PSYC344 Summer Course – GGU 31
GRIT Scores by Gender
Do GRIT scores differ by
GENDER?
(C) 2016: Students of PSYC344 Summer Course – GGU 32
Do GRIT scores
differ by AGE?GRIT Scores by AGE
(C) 2016: Students of PSYC344 Summer Course – GGU 33
Do GRIT scores
differ by
ETHNICITY?
GRIT Scores by Ethnicity
8/8/2016
12
(C) 2016: Students of PSYC344 Summer Course – GGU 34
Do GRIT scores
differ by Level of
EDUCATION?
GRIT Scores by Education
(C) 2016: Students of PSYC344 Summer Course – GGU 35
Do GRIT scores
differ by income?
GRIT Scores by Income
N Minimum Maximum Mean Std. Deviation
mn_GRIT
21 2.42 4.11 3.3948 .43286
<$50,000 mn_GRIT
36 2.15 4.35 3.5288 .43401
$51,000 to $100,000 mn_GRIT
63 2.69 4.54 3.6032 .36598
$101,000 to $150,000 mn_GRIT
30 2.88 4.46 3.5782 .36829
$151,000 to $200,000 mn_GRIT
12 3.23 4.08 3.6058 .29617
>$200,000 mn_GRIT
9 3.42 4.08 3.7222 .23535
Prefer not to answer mn_GRIT
20 2.58 4.27 3.5231 .42214
Descriptive Statistics
SES
(C) 2016: Students of PSYC344 Summer Course – GGU 36
GRIT Scores by Spirituality
Do GRIT scores
differ by
Spirituality?
8/8/2016
13
(C) 2016: Students of PSYC344 Summer Course – GGU 37
Do GRIT scores
differ by Number
of SIBLINGS?
GRIT Scores by # of Siblings
N Minimum Maximum Mean Std. Deviation
mn_GRIT 22 2.42 4.11 3.3594 .45394
None (only child) mn_GRIT
15 2.96 4.31 3.5462 .38577
1 mn_GRIT 35 2.69 4.35 3.6407 .38799
2 mn_GRIT 43 2.15 4.54 3.6190 .38588
3 mn_GRIT 31 2.58 4.46 3.6166 .36454
4 mn_GRIT 12 2.73 3.88 3.4744 .33783
>5 mn_GRIT 30 2.88 4.35 3.5269 .34551
Prefer not to answer mn_GRIT
3 3.08 3.85 3.3846 .40704
Descriptive Statistics
siblings
(C) 2016: Students of PSYC344 Summer Course – GGU 38
Do respondents’ GRIT scores
correspond to their self-
reported resilience
perceptions?
GRIT Scores correlated with Self-Ratings of
Resilience
Answer: Based on
the strength of
the correlation
(~.46), the answer
appears to be YES!
(C) 2016: Students of PSYC344 Summer Course – GGU 39
GRIT
Resilience
Courage
Emotional
Toughness
.87**
.82**
.89**
** = statistically significant at p<.01
* = statistically significant at p<.05
Correlations among GRIT & Subfactors
8/8/2016
14
(C) 2016: Students of PSYC344 Summer Course – GGU
5. GRIT Score Compared to
Validation Measures
(C) 2016: Students of PSYC344 Summer Course – GGU 41
Validation Measures
In order to verify that we are actually measuring the
concept that we are calling GRIT, the following
validation measures (shown on the next slide) were
used. Put differently, we used these external
measures to see if our GRIT assessment correlates
with each in the anticipated direction (i.e., either
positive or negative correlation)
(C) 2016: Students of PSYC344 Summer Course – GGU 42
Validation Measures (variable names marked in RED)
 BigFive – Neuroticism [B5-Neuro] – characterized by sadness, moodiness,
and emotional instability.
 BigFive – Openness [B5-Open] – characteristics such as imagination and
insight
 Ambition Scale [Ambition] – characterized by a strong desire to seek
achievement in various settings in both professional and personal settings
 GRIT Scale [v_GRIT] (This trait is characterized by courage, resolve, and
strength). A subset of Duckworth’s 2007 scale was used.
 Learning Orientation [Learning] – desire to constantly learn and improve
one’s knowledge/skills/ability
 Self-Control/Regulation [Self Control] – degree to which one is able to
control his/her emotions/behavior
 Generalized Self-Efficacy [Gen_SE] – perceived level of general confidence
8/8/2016
15
(C) 2016: Students of PSYC344 Summer Course – GGU 43
Correlations among GRIT & Validation Scales
Ambition B5-Neuro B5-Open V_GRIT Gen_SE Learning Self Control
(C) 2016: Students of PSYC344 Summer Course – GGU 44
GRIT
Resilience
Courage
Emotional
Toughness
.87**
.82**
.89**
** = statistically significant at p<.01
* = statistically significant at p<.05
Ambition
B5-Neurotic
B5-Open
vGRIT
G Self-Efficacy
Learning
Self-Control
Self-Report GRIT
.32**
-.68**
.36**
.28**
.68**
.51**
.32**
.46**
Correlations among GRIT & Validation Scales
(C) 2016: Students of PSYC344 Summer Course – GGU 45
Variance Analysis Results
GRIT (conceptual space)
General Self-Efficacy
50%
B5-Neurotic
(10%)
Ambition (5%)
Learning (2%)
NOTE: Above illustration shows that about 67% of the GRIT concept is captured by
General Efficacy, Neuroticism, Ambition, and Learning
GRIT
8/8/2016
16
(C) 2016: Students of PSYC344 Summer Course – GGU
This project was carried out by students enrolled in PSYC344 –
Tests and Assessments (Summer, 2016) course – offered at the
Golden Gate University. As a result of posting the link to the
assessment on Facebook and various other social media sites, we
obtained a total of 171 responses.
Overall analysis shows that our GRIT assessment is close to being
sufficiently reliable (near .70 Alpha). Our principle component
analysis shows that the 27 items comprise two, rather than three
factors. Finally, correlations among GRIT and the various validation
items appear to be consistent with our expectations; indicating
that we are indeed measuring a concept that represents the
“degree to which a person “sees things through” (i.e., persists)
regardless of the challenges / obstacles to its resolution.”
GRIT Results Summary
(C) 2016: Students of PSYC344 Summer Course – GGU
That’s about it...

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ggu2016summer grit assessment prelim report

  • 1. 8/8/2016 1 (C) 2016: Students of PSYC344 Summer Course – GGU GRIT Design & Preliminary Validation of a Personality Assessment GOLDEN GATE UNIVERSITY PSYC344 – TESTS & ASSESSMENTS (SUMMER, 2016) This report contains preliminary results from a beta-testing of a newly developed assessment designed by Master’s students of psychology (I/O, Counseling, MFT) attending the Golden Gate University’s “Tests & Assessments” course. (C) 2016: Students of PSYC344 Summer Course – GGU 2 Content Project Summary Thank you & Designers 1. About the GRIT Assessment  Definition  Major factors and subfactors  Demographic Breakdown (of participants) 2. Reliabilities 3. Factor analyses 4. GRIT scores by demographic groups 5. GRIT validation 6. Variance analyses 7. Results summary (C) 2016: Students of PSYC344 Summer Course – GGU 3 Project Summary Present project was carried out by students enrolled in PSYC344 – Tests and Assessments (Summer, 2016) course – offered at the Golden Gate University. Major aim of the course is to introduce Master’s level students in psychology (I/O, Counseling, MFT) to basic concepts in assessment design and validation. Results of this report are based on our initial data collection (beta); hence, is preliminary and should be interpreted with caution. A standard assessment design and validation process involves multiple data collection phases.
  • 2. 8/8/2016 2 (C) 2016: Students of PSYC344 Summer Course – GGU 4 Thank you! The completion of this project would not have been possible without the help of those who took the time to complete the assessment. Hence, we would like to sincerely thank all those who participated in the data collection phase of this assessment.  Data collection period: July 6 – July 15, 2016  Total # of participants who started the assessment: 197  Total # of participants who completed the assessment in its entirety: 171 (C) 2016: Students of PSYC344 Summer Course – GGU 5 Designers Students: Matthan Churchill Scott Harris Toni Martin Suzanne Mekenkamp Rehab Nada Katherine Orozco Shirin Pradhan Wayne Seeley Wenting (Gloria) Zhang Patrick McAndrew Instructor: Stephen B. Jeong, Ph.D. (C) 2016: Students of PSYC344 Summer Course – GGU 1. About the GRIT Assessment
  • 3. 8/8/2016 3 (C) 2016: Students of PSYC344 Summer Course – GGU 7 Definition Gritological Rating Intensity Test GRIT is viewed as a personality construct and is defined as the degree to which a person “sees things through” (i.e., persists) regardless of the challenges / obstacles to its resolution. (C) 2016: Students of PSYC344 Summer Course – GGU 8 Factors & Sub-factors Resilience (Sub-factor1) Courage (Sub-factor2) Emotional Toughness (Sub-factor3) GRIT GRIT is conceptualized as consisting of three related sub- factors: Resilience, Courage, and Emotional Toughness. A preliminary set of 27 items were developed and analyzed. (C) 2016: Students of PSYC344 Summer Course – GGU 9 Gender Female respondents outnumber male respondents by more than double
  • 4. 8/8/2016 4 (C) 2016: Students of PSYC344 Summer Course – GGU 10 Age 50% of the participants who took the assessment ranged in age from 31 to 45 (C) 2016: Students of PSYC344 Summer Course – GGU 11 Age Same information in graphical format (C) 2016: Students of PSYC344 Summer Course – GGU 12 Ethnicity 64% of the participants who took the assessment were either Caucasian or Hispanic/Latino
  • 5. 8/8/2016 5 (C) 2016: Students of PSYC344 Summer Course – GGU 13 Ethnicity Same information in graphical format (C) 2016: Students of PSYC344 Summer Course – GGU 14 Education Nearly half of the participants who took the assessment had either a Bachelor’s or Master’s degree (C) 2016: Students of PSYC344 Summer Course – GGU 15 Education (percentages) 0.5 2 21.3 10.2 24.9 22.8 0.5 1.5 3 Education High school (grades 9-12, no degree) High school graduate (or equivalent) Some college (1-4 years, no degree) Associate's degree (including occupational or academic degrees) Bachelor's degree (BA, BS, AB, etc) Master's degree (MA, MS, MENG, MSW, etc) Professional school degree (MD, DDC, JD, etc) Doctorate degree (PhD, EdD, etc) Prefer not to answer Same information in graphical format
  • 6. 8/8/2016 6 (C) 2016: Students of PSYC344 Summer Course – GGU 16 SES (Income Level) Frequency % Valid % Cumulative % <$50,000 36 18.3 18.3 32 $51,000 to $100,000 63 32 32 89.8 $101,000 to $150,000 30 15.2 15.2 51.8 $151,000 to $200,000 12 6.1 6.1 57.9 >$200,000 9 4.6 4.6 36.5 Prefer not to answer 20 10.2 10.2 100 Total 197 100 100 This information should be self- explanatory (C) 2016: Students of PSYC344 Summer Course – GGU 17 Faith/Spirituality A little over half of the participants who took the assessment reported being Christian (C) 2016: Students of PSYC344 Summer Course – GGU 18 Faith Same information in graphical format
  • 7. 8/8/2016 7 (C) 2016: Students of PSYC344 Summer Course – GGU 19 Number of Siblings Frequency Percent Valid % Cumulative % None (only child) 15 7.6 7.6 98.5 1 35 17.8 17.8 47.2 2 43 21.8 21.8 69 3 31 15.7 15.7 84.8 4 12 6.1 6.1 90.9 >5 30 15.2 15.2 29.4 Prefer not to answer 3 1.5 1.5 100 Did not answer 28 14.2 14.2 14.2 Total 197 100 100 Thinking that “maybe” the number of siblings one has might correlate with GRIT, we asked participants about this... We’ll see if they do in later slides... (C) 2016: Students of PSYC344 Summer Course – GGU 20 Number of Siblings 0 5 10 15 20 25 None (only child) 1 2 3 4 >5 Prefer not to answer Did not answer Number of Siblings (%) Same information in graphical format (C) 2016: Students of PSYC344 Summer Course – GGU 21 Self-Rating of Resilience This question asked participants to rate themselves on RESILIENCE using a 10-point scale (10 being highly resilient). No one reported a RESILIENCE rating less than 4
  • 8. 8/8/2016 8 (C) 2016: Students of PSYC344 Summer Course – GGU 22 Self-Rating of Resilience Same information in graphical format (C) 2016: Students of PSYC344 Summer Course – GGU 2. How “reliable” is the new GRIT assessment? NOTE: Reliability(as measuredby Cronbach’s Alphahere) indicatesthe degreeto which the itemsin each subscale(e.g., courage,resilience,and emotionaltoughness)are similarly measuringthe abstract concept that we are callingGRIT. We arelookingforanAlphavalueof0.7or above. (C) 2016: Students of PSYC344 Summer Course – GGU 24 Factor 1: RESILIENCE Reliabilities (Coefficient Alpha) 197 people started the survey but 172 completed all items in the survey Alpha is slightly short of the ideal (0.70) but not bad for beta phase
  • 9. 8/8/2016 9 (C) 2016: Students of PSYC344 Summer Course – GGU 25 Factor 2: COURAGE Reliabilities (Coefficient Alpha) Few of the items from this sub-factor will need to be revised but still not bad 197 people started the survey but 172 completed all items in the survey (C) 2016: Students of PSYC344 Summer Course – GGU 26 Factor 3: EMOTIONAL TOUGHNESS Reliabilities (Coefficient Alpha) Excellent Alpha – especially for first-round data collection 197 people started the survey but 172 completed all items in the survey (C) 2016: Students of PSYC344 Summer Course – GGU 3. Principle Components Analysis Results NOTE: Principle ComponentAnalysisis a data reduction technique similarto factor analysiswherebyan optimal number of dimensionsis extracted fromthe datasetconsisting of 27 items(in our GRITassessment)
  • 10. 8/8/2016 10 (C) 2016: Students of PSYC344 Summer Course – GGU 28 Principle Component Analysis Results >1 Although the Scree Plot here shows a total of 8-factors above Eigenvalue of 1, it appears that our GRIT assessment can be reduced to two factors (as shown by leveling after the steep drop) (C) 2016: Students of PSYC344 Summer Course – GGU 29 Principle Component Analysis Results Table to the right shows what are referred to as factor loadings. Typically, factor loadings of >0.4 are considered to be sufficiently high enough to add value. If you count the total number of factor loadings in each column, you can see that the # of items with a loading of 0.4 or higher are primarily in the first two columns; confirming that our GRIT assessment contains two main factors (C) 2016: Students of PSYC344 Summer Course – GGU 4. GRIT Score Analysis by Demographic Variables NOTE: Here, we are examiningoverallGRIT scores for different segmentsof our participantsample– e.g., age,gender, ethnicity,etc. Look for the MEAN score for each group. Higher the MEAN, the more GRIT an individual(or group in this case) is said to possess. Important Caveat: Results are based on pilot data with items that are still in development-- we must be very careful to draw firm conclusions !!
  • 11. 8/8/2016 11 (C) 2016: Students of PSYC344 Summer Course – GGU 31 GRIT Scores by Gender Do GRIT scores differ by GENDER? (C) 2016: Students of PSYC344 Summer Course – GGU 32 Do GRIT scores differ by AGE?GRIT Scores by AGE (C) 2016: Students of PSYC344 Summer Course – GGU 33 Do GRIT scores differ by ETHNICITY? GRIT Scores by Ethnicity
  • 12. 8/8/2016 12 (C) 2016: Students of PSYC344 Summer Course – GGU 34 Do GRIT scores differ by Level of EDUCATION? GRIT Scores by Education (C) 2016: Students of PSYC344 Summer Course – GGU 35 Do GRIT scores differ by income? GRIT Scores by Income N Minimum Maximum Mean Std. Deviation mn_GRIT 21 2.42 4.11 3.3948 .43286 <$50,000 mn_GRIT 36 2.15 4.35 3.5288 .43401 $51,000 to $100,000 mn_GRIT 63 2.69 4.54 3.6032 .36598 $101,000 to $150,000 mn_GRIT 30 2.88 4.46 3.5782 .36829 $151,000 to $200,000 mn_GRIT 12 3.23 4.08 3.6058 .29617 >$200,000 mn_GRIT 9 3.42 4.08 3.7222 .23535 Prefer not to answer mn_GRIT 20 2.58 4.27 3.5231 .42214 Descriptive Statistics SES (C) 2016: Students of PSYC344 Summer Course – GGU 36 GRIT Scores by Spirituality Do GRIT scores differ by Spirituality?
  • 13. 8/8/2016 13 (C) 2016: Students of PSYC344 Summer Course – GGU 37 Do GRIT scores differ by Number of SIBLINGS? GRIT Scores by # of Siblings N Minimum Maximum Mean Std. Deviation mn_GRIT 22 2.42 4.11 3.3594 .45394 None (only child) mn_GRIT 15 2.96 4.31 3.5462 .38577 1 mn_GRIT 35 2.69 4.35 3.6407 .38799 2 mn_GRIT 43 2.15 4.54 3.6190 .38588 3 mn_GRIT 31 2.58 4.46 3.6166 .36454 4 mn_GRIT 12 2.73 3.88 3.4744 .33783 >5 mn_GRIT 30 2.88 4.35 3.5269 .34551 Prefer not to answer mn_GRIT 3 3.08 3.85 3.3846 .40704 Descriptive Statistics siblings (C) 2016: Students of PSYC344 Summer Course – GGU 38 Do respondents’ GRIT scores correspond to their self- reported resilience perceptions? GRIT Scores correlated with Self-Ratings of Resilience Answer: Based on the strength of the correlation (~.46), the answer appears to be YES! (C) 2016: Students of PSYC344 Summer Course – GGU 39 GRIT Resilience Courage Emotional Toughness .87** .82** .89** ** = statistically significant at p<.01 * = statistically significant at p<.05 Correlations among GRIT & Subfactors
  • 14. 8/8/2016 14 (C) 2016: Students of PSYC344 Summer Course – GGU 5. GRIT Score Compared to Validation Measures (C) 2016: Students of PSYC344 Summer Course – GGU 41 Validation Measures In order to verify that we are actually measuring the concept that we are calling GRIT, the following validation measures (shown on the next slide) were used. Put differently, we used these external measures to see if our GRIT assessment correlates with each in the anticipated direction (i.e., either positive or negative correlation) (C) 2016: Students of PSYC344 Summer Course – GGU 42 Validation Measures (variable names marked in RED)  BigFive – Neuroticism [B5-Neuro] – characterized by sadness, moodiness, and emotional instability.  BigFive – Openness [B5-Open] – characteristics such as imagination and insight  Ambition Scale [Ambition] – characterized by a strong desire to seek achievement in various settings in both professional and personal settings  GRIT Scale [v_GRIT] (This trait is characterized by courage, resolve, and strength). A subset of Duckworth’s 2007 scale was used.  Learning Orientation [Learning] – desire to constantly learn and improve one’s knowledge/skills/ability  Self-Control/Regulation [Self Control] – degree to which one is able to control his/her emotions/behavior  Generalized Self-Efficacy [Gen_SE] – perceived level of general confidence
  • 15. 8/8/2016 15 (C) 2016: Students of PSYC344 Summer Course – GGU 43 Correlations among GRIT & Validation Scales Ambition B5-Neuro B5-Open V_GRIT Gen_SE Learning Self Control (C) 2016: Students of PSYC344 Summer Course – GGU 44 GRIT Resilience Courage Emotional Toughness .87** .82** .89** ** = statistically significant at p<.01 * = statistically significant at p<.05 Ambition B5-Neurotic B5-Open vGRIT G Self-Efficacy Learning Self-Control Self-Report GRIT .32** -.68** .36** .28** .68** .51** .32** .46** Correlations among GRIT & Validation Scales (C) 2016: Students of PSYC344 Summer Course – GGU 45 Variance Analysis Results GRIT (conceptual space) General Self-Efficacy 50% B5-Neurotic (10%) Ambition (5%) Learning (2%) NOTE: Above illustration shows that about 67% of the GRIT concept is captured by General Efficacy, Neuroticism, Ambition, and Learning GRIT
  • 16. 8/8/2016 16 (C) 2016: Students of PSYC344 Summer Course – GGU This project was carried out by students enrolled in PSYC344 – Tests and Assessments (Summer, 2016) course – offered at the Golden Gate University. As a result of posting the link to the assessment on Facebook and various other social media sites, we obtained a total of 171 responses. Overall analysis shows that our GRIT assessment is close to being sufficiently reliable (near .70 Alpha). Our principle component analysis shows that the 27 items comprise two, rather than three factors. Finally, correlations among GRIT and the various validation items appear to be consistent with our expectations; indicating that we are indeed measuring a concept that represents the “degree to which a person “sees things through” (i.e., persists) regardless of the challenges / obstacles to its resolution.” GRIT Results Summary (C) 2016: Students of PSYC344 Summer Course – GGU That’s about it...