The Development of the Scale of Protective Factors: Resilience in a Violent Trauma Sample

2015 ◽  
Vol 30 (5) ◽  
pp. 735-755 ◽  
Author(s):  
Elisabeth Ponce-Garcia ◽  
Amy N. Madewell ◽  
Shelia M. Kennison
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Protective Factors ◽  
Factor Structure ◽  
Individual Factors ◽  
Clinical Settings ◽  
Clinical Criteria ◽  
Resilience Scale ◽  
Confirmatory Factor

This research developed the Scale of Protective Factors (SPF-24) to measure protective factors contributing to resilience. We investigated the factor structure of 35 items. After exploratory factor analysis, we subjected 25 items representing 2 social-interpersonal and 2 cognitive-individual factors to confirmatory factor analysis. The sample consisted of 942 college students from 3 studies and 2 institutions. To examine the diagnostic function of the SPF, we used clinical criteria to identify a subsample of participants who had experienced violent trauma and scored low, moderate, or high on an established resilience scale. Results showed that the low-resilient group scored significantly lower on all subscales of the SPF with marked differences in prioritizing/planning behavior. Implications for the research and clinical settings are discussed.

scholarly journals Psychometric Properties of the 25-Item Connor-Davison Resilience Scale: Preliminary Data for a Romanian Military Population

2021 ◽  
Vol 26 (1) ◽  
pp. 31-38
Author(s):  
Iulia-Clarisa Giurcă ◽  
Adriana Baban ◽  
Sebastian Pintea ◽  
Bianca Macavei
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Psychometric Properties ◽  
Factor Structure ◽  
Preliminary Data ◽  
Model Fit ◽  
Military Population ◽  
Resilience Scale ◽  
Confirmatory Factor

AbstractThe following study is aimed at investigating the construct validity of the 25-item Connor-Davidson Resilience Scale (CD-RISC 25) on a Romanian military population. The exploratory factor analysis was conducted on 434 male military participants, aged between 24 and 50 years (M = 34.83, S.D. = 6.14) and the confirmatory factor analysis was conducted on a sample of 679 military participants, of 605 men and 74 women, aged between 18 and 59 years (M = 38.37, S.D. = 9.07). Factor analysis of the scale showed it to be a bidimensional, rather than a multidimensional instrument, as the original five-factor structure was not replicated in this military Romanian sample. Moreover, EFAs suggested that a 14-item bidimensional model should be retained and CFA confirmed that this model fit the data best.

Factor Structure of the Perfectionistic Self-Presentation Scale in Korea

2011 ◽  
Vol 109 (3) ◽  
pp. 990-1000 ◽  
Author(s):  
Dong-Gwi Lee ◽  
Hanna Suh ◽  
Hee-Kyung Lee
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Convergent Validity ◽  
Model Fit ◽  
Self Presentation ◽  
Korean Version ◽  
Confirmatory Factor ◽  
Korean College Students

This study explored the factor structure of the Korean version of the Perfectionistic Self-Presentation Scale, originally developed by Hewitt and colleagues in 2003 with three factors (Perfectionistic Self-promotion, Non-display of Imperfection, and Non-disclosure of Imperfection). In Study 1, a confirmatory factor analysis was performed on the Korean version with 27 items for 151 Korean college students, but the model fit was poor. Subsequently, an exploratory factor analysis was conducted, and the results yielded three factors as found in Hewitt, et al., yet with 20 items rather than the original 27 items. This new version had good internal consistency (Cronbach's alpha = .88); convergent validity estimate was established with a measure of self-presentation motivation. In Study 2, to support the structural validity of the Korean version, another confirmatory factor analysis was conducted with 203 Korean college students. The model fit was good, but a few amendments were made.

Development of the Experiences of Humility Scale

2017 ◽  
Vol 45 (1) ◽  
pp. 3-16 ◽  
Author(s):  
Don E. Davis ◽  
Stacey McElroy ◽  
Elise Choe ◽  
Charles J. Westbrook ◽  
Cirleen DeBlaere ◽  
...  
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Construct Validity ◽  
Factor Structure ◽  
Discriminant Validity ◽  
Neutral Condition ◽  
Confirmatory Factor ◽  
Other Orientation ◽  
Meaningful Event

In three studies, we developed the Experiences of Humility Scale (EHS). In Study 1, we used exploratory factor analysis to determine the factor structure and to reduce items in a sample of undergraduates (N = 200). The EHS had four subscales: Other-orientation, Transcendence, Awareness of Selfishness, and Awareness of Egotism. Study 2 involved an experiment with a second sample of college students (N = 106) that provided initial evidence of construct validity. Participants assigned to a Meaning Condition (i.e., writing about a most meaningful event) reported lower levels of awareness of egotism and selfishness than did participants assigned to a Neutral Condition. In Study 3, with a third sample of college students (N = 155), we replicated the factor structure of the EHS using confirmatory factor analysis and evaluated additional evidence of construct validity. As predicted, the EHS subscales predicted constructs associated with spiritual connection and meaning. Likewise, providing evidence of discriminant validity, the EHS subscales were only moderately related to traits of humility, agreeableness, and neuroticism.

scholarly journals The Turkish Adaptation of the Mathematical Resilience Scale: Validity and Reliability Study

2018 ◽  
Vol 6 (4) ◽  
pp. 38
Author(s):  
Nejla Gürefe ◽  
Veysel Akçakın
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Undergraduate Students ◽  
Validity And Reliability ◽  
Measurement Instruments ◽  
Resilience Scale ◽  
Confirmatory Factor ◽  
Alpha Reliability ◽  
Mathematical Resilience

Persistent in mathematical studies is an important element allowing students to be successful in their STEM careers, and there is a need for affective measurement instruments to assess persistence in mathematics in spite of problems. For this reason, this study aims to adapt the Mathematical Resilience Scale developed to assess resilience, which is described as having a positive attitude towards mathematics, to Turkish. The fitness of the factor structure of the scale consisting of three factors was investigated using the confirmatory factor analysis. The reliability of the scale and its factors was assessed using the Cronbach’s Alpha reliability coefficient. The reliability value was found to be .92, .80, .76, and .87 for the value factor, the struggle factor, the growth factor, and the entire scale, respectively. The confirmatory factor analysis validated the factor structure of the scale, and the second-level confirmatory factor analysis was performed to show that the factors of the scale were components of resilience. As a result, it was found that the resilience consisted of three components, namely value, struggle, and growth, and the scale was capable of measuring mathematical resilience of undergraduate students validly and reliably.

Discriminatory Attitudes: A Scale Development in Turkish

2008 ◽  
Vol 103 (3) ◽  
pp. 921-930 ◽  
Author(s):  
Mufit Gomleksiz ◽  
Senel Poyrazli ◽  
Ruken Akar Vural
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Expert Opinion ◽  
Internal Consistency ◽  
Varimax Rotation ◽  
Related Literature ◽  
Confirmatory Factor ◽  
Orientation Scale

This study presented the development of a reliable and valid scale, the Discriminatory Attitudes Scale, for use in research related to discrimination in a Turkish context. First, related literature was searched and a pool of 69 items was generated to cover the basic forms of discrimination. Then, data were collected from 840 college students and subjected to exploratory factor analysis with varimax rotation, leaving 21 items. Next, a confirmatory factor analysis was performed, which confirmed a 4-factor structure. These factors were named Discrimination Against Homosexuals, Discrimination Against Women, Discrimination Based on Race or Ethnicity and Religion, and Discrimination Against Foreigners. Correlational analyses with ratings from the Left–Right Orientation Scale, Cronbach coefficient alpha, and expert opinion provided evidence on validity and internal consistency and reliability of the Discriminatory Attitudes Scale.

Confirmatory Factor Analysis of the Long and Short Forms of the Worry Domains Questionnaire

2009 ◽  
Vol 25 (4) ◽  
pp. 239-243
Author(s):  
Roberto Nuevo ◽  
Andrés Losada ◽  
María Márquez-González ◽  
Cecilia Peñacoba
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Factorial Validity ◽  
Fit Indices ◽  
Short Forms ◽  
Confirmatory Factor ◽  
Positive Correlations ◽  
Future Work

The Worry Domains Questionnaire was proposed as a measure of both pathological and nonpathological worry, and assesses the frequency of worrying about five different domains: relationships, lack of confidence, aimless future, work, and financial. The present study analyzed the factor structure of the long and short forms of the WDQ (WDQ and WDQ-SF, respectively) through confirmatory factor analysis in a sample of 262 students (M age = 21.8; SD = 2.6; 86.3% females). While the goodness-of-fit indices did not provide support for the WDQ, good fit indices were found for the WDQ-SF. Furthermore, no source of misspecification was identified, thus, supporting the factorial validity of the WDQ-SF scale. Significant positive correlations between the WDQ-SF and its subscales with worry (PSWQ), anxiety (STAI-T), and depression (BDI) were found. The internal consistency was good for the total scale and for the subscales. This work provides support for the use of the WDQ-SF, and potential uses for research and clinical purposes are discussed.

Structural Relationships among Customer Delight, Exercise Commitment, and Psychological Happiness

2019 ◽  
Vol 118 (1) ◽  
pp. 8-13
Author(s):  
Boo-Gil Seok ◽  
Hyun-Suk Park
Keyword(s):  
College Students ◽  
Factor Analysis ◽  
Statistical Analysis ◽  
Confirmatory Factor Analysis ◽  
Correlation Analysis ◽  
Frequency Analysis ◽  
Structural Correlation ◽  
Structural Relationships ◽  
Confirmatory Factor ◽  
Customer Delight

Background/Objectives: The purpose of this study is to find out the structural relationships among customer delight, exercise commitment, and psychological happiness to contribute developing exercise Apps. Methods/Statistical analysis: A questionnaire survey was conducted and 160 college students who are familiar with mobile exercise applications participated. The data analyzed with frequency analysis, exploratory factor analysis, confirmatory factor analysis, correlation analysis, and structural correlation analysis. The validity and the reliability were obtained: customer delight (χ2=26.532, df=14, CFI=.985, TLI=.971, RMSEA=.075), exercise commitment (χ2=113.802, df=49, CFI=.956, TLI=.941, RMSEA=.091), and psychological happiness (χ2=15.338, df=8, CFI=.989, TLI=.980, RMSEA=.076, and Cronbach’s α=.906~.938).

An investigation into the factor structure of the Cognitive Therapy Scale – Revised (CTS-R) in a CBT training sample

2021 ◽  
pp. 1-11
Author(s):  
Sarah Beale ◽  
Silia Vitoratou ◽  
Sheena Liness
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Therapy ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Factor Model ◽  
Single Factor ◽  
Behaviour Therapy ◽  
Cognitive Behaviour ◽  
Confirmatory Factor

Abstract Background: Effective monitoring of cognitive behaviour therapy (CBT) competence depends on psychometrically robust assessment methods. While the UK Cognitive Therapy Scale – Revised (CTS-R; Blackburn et al., 2001) has become a widely used competence measure in CBT training, practice and research, its underlying factor structure has never been investigated. Aims: This study aimed to present the first investigation into the factor structure of the CTS-R based on a large sample of postgraduate CBT trainee recordings. Method: Trainees (n = 382) provided 746 mid-treatment audio recordings for depression (n = 373) and anxiety (n = 373) cases scored on the CTS-R by expert markers. Tapes were split into two equal samples counterbalanced by diagnosis and with one tape per trainee. Exploratory factor analysis was conducted. The suggested factor structure and a widely used theoretical two-factor model were tested with confirmatory factor analysis. Measurement invariance was assessed by diagnostic group (depression versus anxiety). Results: Exploratory factor analysis suggested a single-factor solution (98.68% explained variance), which was supported by confirmatory factor analysis. All 12 CTS-R items were found to contribute to this single factor. The univariate model demonstrated full metric invariance and partial scalar invariance by diagnosis, with one item (item 10 – Conceptual Integration) demonstrating scalar non-invariance. Conclusions: Findings indicate that the CTS-R is a robust homogenous measure and do not support division into the widely used theoretical generic versus CBT-specific competency subscales. Investigation into the CTS-R factor structure in other populations is warranted.

Hypothesized simple factor structure for the Alcohol Expectancy Questionnaire: Confirmatory factor analysis.

1999 ◽  
Vol 7 (3) ◽  
pp. 294-303 ◽  
Author(s):  
Peter W. Vik ◽  
Patrice D. Carrello ◽  
Peter E. Nathan
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Factor Structure ◽  
Alcohol Expectancy ◽  
Confirmatory Factor ◽  
Simple Factor
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