The factor structure of the posttraumatic growth inventory: A comparison of five models using confirmatory factor analysis

2008 ◽  
Vol 21 (2) ◽  
pp. 158-164 ◽  
Author(s):  
Kanako Taku ◽  
Arnie Cann ◽  
Lawrence G. Calhoun ◽  
Richard G. Tedeschi
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Posttraumatic Growth ◽  
Factor Structure ◽  
Confirmatory Factor ◽  
Posttraumatic Growth Inventory

scholarly journals Translation and Adaptation of the Posttraumatic Growth Inventory-Short Form into Persian

2020 ◽  
Vol 13 (1) ◽  
pp. 326-332
Author(s):  
Hadis Amiri ◽  
Maysam Rezapour ◽  
Mahmoud Nekoei-Moghadam ◽  
Nouzar Nakhaee
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Posttraumatic Growth ◽  
Factor Model ◽  
Short Form ◽  
Five Factor Model ◽  
Internal Reliability ◽  
Persian Version ◽  
Confirmatory Factor ◽  
Posttraumatic Growth Inventory

Purpose: Traumatic events and psychological damage are common, and the assessment of the growth in survivors of these events is critical. This study evaluated the psychometric properties of the Persian Posttraumatic Growth Inventory-Short Form (PTGI-SF). Methods: This study was conducted in five phases: (1) forward and backward translation of the questionnaire based on the WHO protocol, (2) confirmatory factor analysis to assess construct validity with 563 participations (288 women and 275 men), aged 19-84 years (mean: 33.36 years), (3) Cronbach's alpha for internal consistency, (4) correlations with the Persian version of the Duke University Religion Index (DUREL) for assessing criterion-related validity, and (5) measurement of invariance across genders. Results: Confirmatory factor analysis supported the five-factor model consisting of relating to others, new possibilities, personal strength, spiritual change, and appreciation of life. All the dimensions of the PTGI-SF were moderately associated with the Persian version of the DUREL. The internal reliability of the subscales and full scale of the PTGI-SF were acceptable to satisfactory, and the configural, metric, and scalar invariance was found across genders. Conclusion: The Persian version of PTGI-SF is an acceptable, valid, and reliable tool for measuring posttraumatic growth in Iran.

Spanish Adaptation and Validation of the Posttraumatic Growth Inventory–Short Form

2015 ◽  
Vol 30 (5) ◽  
pp. 756-769 ◽  
Author(s):  
Manuel Cárdenas Castro ◽  
Jaime Barrientos Delgado ◽  
Emilio Ricci Alvarado ◽  
Darío Páez Rovira
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Posttraumatic Growth ◽  
Meaning In Life ◽  
Short Form ◽  
Validity And Reliability ◽  
Confirmatory Factor ◽  
Posttraumatic Growth Inventory ◽  
Fit Indexes ◽  
Fit Index

The purpose of this article is to adapt and validate the short form of the Posttraumatic Growth Inventory (PTGI-SF) in Spanish. The scale consists of 10 items distributed in 5 posttraumatic growth dimensions measured in the original instrument. The psychometric properties and dimensionality of the scale are examined in a sample of college students (N = 681). Results lend support to the validity and reliability (α = .83) of the PTGI-SF. The dimensions of PTGI-SF show correlations ranging between .29 and .52. In addition, the inventory correlates significantly with deliberate rumination (r = .39) and the search for meaning in life (r = .32). The factor loadings of the items in the confirmatory factor analysis varied between .52 and .87, showing good fit indexes (comparative fit index = .97, Tucker-Lewis index = .93, relative fit index = .90, incremental fit index = .97, normed fit index = .96, and root mean square error of approximation = .05). Multigroup confirmatory factor analysis supported invariance of the PTGI-SF across the 2 groups. Finally, significantly higher PTGI-SF scores were observed in subjects who were actively looking for meaning in life, or had found it after a seeking process, than in subjects who had not looked for meaning in life or had given up because they had not been successful.

scholarly journals Posttraumatic Growth Inventory: Factor Structure in the Context of DSM-IV Traumatic Events

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Princess E. Osei-Bonsu ◽  
Terri L. Weaver ◽  
Susan V. Eisen ◽  
Jillon S. Vander Wal
Keyword(s):  
Factor Analysis ◽  
Posttraumatic Growth ◽  
Factor Structure ◽  
Traumatic Events ◽  
Student Sample ◽  
Potentially Traumatic Events ◽  
Confirmatory Factor ◽  
Dsm Iv ◽  
Posttraumatic Growth Inventory

Studies examining the dimensionality of the Posttraumatic Growth Inventory (PTGI) have yielded varying results. To date, no study has investigated the measure's factor structure in the context of DSM-defined traumatic events. The present study examined the structure in an undergraduate student sample (N=379) reporting DSM-IV Criterion-A potentially traumatic events. Confirmatory factor analysis (CFA) did not support the original five-factor structure. Follow-up exploratory factor analysis and CFA on random halves of the sample showed poor model fit for 1-, 3-, and 7-factor models. Results suggest that the PTGI factor structure is unclear amongst individuals with DSM-IV traumatic events, and continued use of the total score is most appropriate. Future directions including the utility of the PTGI factors are discussed.

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.

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.

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