The Posttraumatic Growth Inventory: an examination of the factor structure and invariance among breast cancer survivors

2009 ◽  
Vol 19 (8) ◽  
pp. 830-838 ◽  
Author(s):  
Jennifer Brunet ◽  
Meghan H. McDonough ◽  
Valerie Hadd ◽  
Peter R. E. Crocker ◽  
Catherine M. Sabiston
Keyword(s):  
Breast Cancer ◽  
Cancer Survivors ◽  
Posttraumatic Growth ◽  
Factor Structure ◽  
Breast Cancer Survivors ◽  
Posttraumatic Growth Inventory

Psychosocial Factors Related to Posttraumatic Growth in Breast Cancer Survivors: A Review

2014 ◽  
Vol 54 (6) ◽  
pp. 569-592 ◽  
Author(s):  
Philippa Kolokotroni ◽  
Fotios Anagnostopoulos ◽  
Annivas Tsikkinis
Keyword(s):  
Breast Cancer ◽  
Cancer Survivors ◽  
Posttraumatic Growth ◽  
Psychosocial Factors ◽  
Breast Cancer Survivors

The Posttraumatic Growth Inventory: Factor Structure and Invariance in a Sample of Breast Cancer Patients and in a Non-Clinical Sample

2016 ◽  
Vol 19 ◽  
Author(s):  
Catarina Ramos ◽  
Isabel Leal ◽  
Ana Lúcia Marôco ◽  
Richard G. Tedeschi
Keyword(s):  
Breast Cancer ◽  
Posttraumatic Growth ◽  
Cancer Patients ◽  
Factor Structure ◽  
Goodness Of Fit ◽  
Clinical Sample ◽  
Five Factor Model ◽  
Breast Cancer Patients ◽  
Factor Loadings ◽  
Posttraumatic Growth Inventory

AbstractThe Posttraumatic Growth Inventory (PTGI) is frequently used to assess positive changes following a traumatic event. The aim of the study is to examine the factor structure and the latent mean invariance of PTGI. A sample of 205 (Mage = 54.3, SD = 10.1) women diagnosed with breast cancer and 456 (Mage = 34.9, SD = 12.5) adults who had experienced a range of adverse life events were recruited to complete the PTGI and a socio-demographic questionnaire. We use Confirmatory Factor Analysis (CFA) to test the factor-structure and multi-sample CFA to examine the invariance of the PTGI between the two groups. The goodness of fit for the five-factor model is satisfactory for breast cancer sample (χ2(175) = 396.265; CFI = .884; NIF = .813; RMSEA [90% CI] = .079 [.068, .089]), and good for non-clinical sample (χ2(172) = 574.329; CFI = .931; NIF = .905; RMSEA [90% CI] = .072 [.065, .078]). The results of multi-sample CFA show that the model fit indices of the unconstrained model are equal but the model that uses constrained factor loadings is not invariant across groups. The findings provide support for the original five-factor structure and for the multidimensional nature of posttraumatic growth (PTG). Regarding invariance between both samples, the factor structure of PTGI and other parameters (i.e., factor loadings, variances, and co-variances) are not invariant across the sample of breast cancer patients and the non-clinical sample.

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