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Subject: search.filters.subject.Crecimiento postraumático

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    Posttraumatic growth (PTG) and posttraumatic depreciation (PTD) across ten countries: Global validation of the PTG-PTD theoretical model
    (Elsevier, 2020-07-06)
    This study examined the relationships between posttraumatic growth (PTG) and posttraumatic depreciation (PTD) across 10 countries and assessed the factorial invariance of the standardized inventory assessing PTG and PTD, the PTGDI-X, the expansion of the PTGI-X (Tedeschi et al., 2017). We also investigated the roles of social and cognitive factors in PTG and PTD. Data were collected from participants who identified that their most stressful life experience met the definition of trauma in Australia, Germany, Italy, Japan, Nepal, Peru, Poland, Portugal, Turkey, and the US. The participants completed the PTGDI-X and inventories measuring posttraumatic stress disorder symptoms, and predictor variables such as reexamination of core beliefs, centrality of the event, rumination, and disclosures. Results identified universal aspects such as equivalence of factor loadings of the PTGDI-X and the impact of positive/negative disclosure on PTG and PTD. Results also revealed culture-specific aspects, including the relationships between PTG and PTD, and different patterns of cognitive predictors for PTG and PTD. The current study offered the insight that, for the first time using international data, positive and negative post-trauma changes are not likely to be on opposing ends of one dimension, and it is essential to use the PTGDI-X to better understand both positive and negative aspects of post-traumatic experiences.
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    Psychometric properties of the Post-traumatic Growth Inventory in the context of the COVID-19 pandemic: Bifactor model invariance
    (Asoc. Espanola de Psicologia Clinica y Psicopatologia, 2024-01-01)
    The Posttraumatic Growth Inventory (PTGI; Tedeschi & Calhoun, 1996) assesses growth experiences following traumatic events, such as those experienced during the COVID19 pandemic. However, its factor structure is still under debate, suggesting that a bifactor model might best represent the structure of the test. This study examined the psychometric properties of this instrument with a sample of 615 Peruvian adults. Confirmatory factor analyses revealed that a bifactor model, which included a general factor and five specific factors, proved to be the best fit to the data (SBSχ2 (df)= 909.26(184), CFI =1, RMSEA =.066, SRMR =.046). We found evidence of configural invariance between the group that reports deceased relatives by COVID19 and the group that does not. In addition, adequate internal consistency indices were found. This study supports adequate psychometric properties of the PTGI.