Login / Signup

Posttraumatic growth inventory: factor structure in Spanish-speaking people living with HIV.

Helena Hernansaiz-GarridoRocío Rodríguez-ReyJesús Alonso-Tapia
Published in: AIDS care (2017)
This cross-sectional study analyzed the factorial structure of the Posttraumatic Growth Inventory (PTGI) in a sample of 304 Spanish-speaking HIV-positive adults. Participants completed the PTGI and a socio-demographic questionnaire. Exploratory factor analysis (EFA) was carried out through structural equations modeling, with a Varimax rotation. Factors with eigenvalues greater than 1 were extracted, and items with loadings higher than .5 on a factor and lower than .4 on the rest were retained. Two confirmatory factor analyses (CFA) were performed to test a hierarchical model and a bifactor model. Reliability analyses were conducted. EFA suggested a three-factor model keeping 11 of the original 21 items. The three factors that emerged were changes in philosophy of life, in the self and in interpersonal relationships. CFAs suggested that only the bifactor model fitted the data. The three factors as well as the global scale showed good reliability. The factor structure of PTGI's scores in our data is consistent with the three dimensions theorized by Tedeschi and Calhoun, which speaks in favor of the construct validity of this measure.
Keyphrases
  • hiv positive
  • south africa
  • psychometric properties
  • machine learning
  • big data
  • hepatitis c virus