Bill Bailey's Comfirmatory Factor Anal

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    An Examination of the Factor Structureof the Emotional Skills AssessmentProcess (ESAP-CV) Instrument UsingConfirmatory Factor Analysis

    William C. Bailey, Ph.D.Associate Professor

    Christina Chi, Ph.D.Assistant Professor

    School of Human Environmental Sciences

    Dale Bumpers College of Agricultural, Food and LifeSciences

    University of Arkansas

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    Emotional SkillsAssessment Process (ESAP) Nelson and Low (1999, 2004) created the

    ESAP scale in order to assist students inacademic achievement, career success,personal health, and leadership.

    ESAP was revised from a 213 item self-

    assessment instrument evaluating 10strengths and 3 problem areas

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    ESAP-CV This study used a revised form of the ESAP

    with 104 items.

    Evaluates five emotional skills

    Assertion Stress Management

    Drive Strength

    Time Management Commitment Ethic

    One Problem Area-- Change Orientation

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    Data Collection

    Data were collected using a questionnaireplaced on www.surveymonkey.com

    Students were sent an email and asked to

    respond from a variety of University coreclasses to ensure diversity

    In addition to the ESAP-CV, there were

    demographic items such as gender, age,ethnicity, and college classification

    A total of 458 usable responses were collected

    http://www.surveymonkey.com/http://www.surveymonkey.com/
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    Sample Split In Halves

    The sample was randomly assigned to 2groupsboth groups were a little more than

    250 each. Because the largest subscale was 25 items,

    there was sufficient power for this analysis (1item with at least 10 respondents).

    One group was analyized by exploratory factoranalysis (EFA) and the other by confirmatoryfactory analysis (CFA).

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    Exploratory Factor

    Analysis (EFA) In order to evaluate the initial structure of

    each of the subscales, EFA was

    performed using SPSS 13.0. The Extraction Method was Principal

    Axis Factoring in order to maximize

    loadings and eliminate double loadings Loading factor of .40 was selected as

    item criteria.

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    Results of EFA was Followed byConfirmatory Factor Analysis (CFA)

    CFA gives the researcher completecontrol of the specifications of each

    of the subscale constructs.

    CFA also allows for a statistical testof the goodness-of-fit for the

    proposed solution.

    AMOS 5.0 was used for analysis

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    Goodness-of-Fit

    Analysis Statistics #1

    Overall Chi-square statisticprovidesa test of whether the sample covariance

    matrix is equivalent to the model-impliedcovariance matrix within sample error.

    Rule of thumbpvalues larger than .05or .10.

    However, this is effected by sample sizeand should be interpreted with caution.

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    Goodness-of-Fit

    Analysis Statistics #2

    The CFI was created to compare the fit ofthe proposed model to the worst case

    alternative. This is a null baseline model where every

    measure is modeled as being uncorrelated with

    every other measure. CFI ranges between 0 and 1.

    Rule: CFI values .90 are above are adequate ofthe model.

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    Commitment Ethic EFA Factor

    This 12 item scale measured oneconstruct according to EFA.

    However, only 10 items loaded at betterthan .40

    Item 5I have a solid feeling of

    confidence in my ability to create a goodlife for myself.

    Item 7I do not procrastinate.

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    Commitment Ethics ItemLoadings

    Item # Factor Loading

    6 .72

    11 .68

    2 .67

    10 .67

    4 .62

    1 .61

    8 599 .57

    5 .50

    12 .43

    3 .40

    Due to EFA

    resulting in asingle factor,

    CFA was not

    conduced.

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    EFA of Assertion The Assertion portion of the ESAP has a total

    of 18 items.

    It has a unique design.

    The word Situation is used prior to threesimilar statements creating 6 items clusters.

    The EFA indicated there were only 5 itemsclusters of varying from 2 to 3 items.

    Items 1, 6, 16, 17, and 18 failed to load at .40or better.

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    CFAModel ofAssertion

    Chi square 73.132*

    CFI 0.975

    RMSEA 0.038

    *p. = .000

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    Five Suggested Factor Namesfor Assertion

    Items 10, 11, & 12 Response to

    Requests

    Items 5 & 6 Aware of Anothers Anger Items 7, 8, & 9 Communication with

    Authority

    Items 13, 14, & 15 Making Demands ofOthers

    Items 2 & 3 Anger Directed at Another

    Person

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    EFA Analysis Drive Strength

    Drive Strength has 25 items

    EFA generated Five Factors Five items failed to load .40 or

    better

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    Chi square 246.169*

    CFI 0.934RMSEA 0.048

    CFA Modelof Drive

    Strength

    *p. = .000

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    Five Suggested Factor Namesfor Drive Strengths

    Factor 1 Self Starter

    Factor 2 Self Challenger

    Factor 3 Project Focus

    Factor 4 Planning for the Future

    Factor 5 Personal SuccessStrategies

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    Time Management EFA

    12 items

    Resulted in 2 Factors All 12 items loaded at

    better than .40

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    CFA of TimeManagement

    Chi square 85.445*

    CFI 0.967

    RMSEA 0.051

    *p. = .000

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    Suggested Names for TimeManagement Factors

    Factor 1Effective TimeManagement Skills

    Factor 2Punctuality

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    EFA of Stress Management

    25 items

    EFA generated 4 Factors Five items failed to load at

    .40 or better

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    Unable to Show CFA Model

    Chi square 301.39*

    CFI 0.904

    RMSEA 0.06

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    Suggested Names for 4 StressFactors

    Factor 1- Stress ObstructingSense of

    Well-Being

    Factor 2Coping by Relaxing

    Factor 3Stress andImpatience

    Factor 4Unable to Cope

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    EFA Analysis for ProblemArea Change Orientation

    12 items

    2 Factors Generated 2 items failed to load at better

    than .40

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    Chi square 114.359*

    CFI 0.906

    RMSEA 0.101

    Unable to Name Factors

    CFA forChange

    Orientation

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    Modest Suggestions andConclusions

    Several of the ESAP-CV scalesmeasure more than one concept

    Reduction of items on some scalesmay be appropriate

    Some of the CFA models arestatistically more powerful than others

    Small number of items subscales willbe difficult to norm and title

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    Future Directions for Research

    Does the ESAP-CV really havepredictive validity? What can it predict?

    Developing norms based on gender,ethnicity, or age?

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