Psicologia: Reflexão e Crítica (Feb 2024)

Family functioning in students of health sciences in four Latin American countries: a study of the structure and factorial invariance of the FACES III scale. A cross-sectional study

  • Lindsey W. Vilca,
  • Víctor Díaz-Narváez,
  • Aracelis Calzadilla-Núñez,
  • Claudia Arispe-Alburqueque,
  • Susana Facio Arciniega,
  • María Alejandra Orostegui,
  • Herminia Castellón-Montenegro,
  • Karina Santander,
  • Claudio López-Labarca,
  • Guiomar Hernández Álvarez,
  • Shirley Fernández-Aragón,
  • Luz Marina Alonso Palacio,
  • Alejandro Reyes-Reyes,
  • Marco Cervantes Mendoza

DOI
https://doi.org/10.1186/s41155-024-00287-1
Journal volume & issue
Vol. 37, no. 1
pp. 1 – 13

Abstract

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Abstract Background Psychometric studies of the FACES III scale in Spanish-speaking countries show a lack of agreement on the factorial structure of the scale. In addition, most of the studies have only performed exploratory analyses of its factorial structure. Objective The objective of the present study was to confirm the structure and factorial invariance of the FACES III scale in nursing and obstetric students from Chile, Colombia, Peru, and Mexico. Methods A total of 3303 students from the four countries participated in this study (Colombia = 1559, Chile = 1224, Peru = 215, Mexico = 305). Results The results of the study showed that the Bi-factor model presents the best-fit indexes to the data from Colombia, Chile, and Mexico, but not from Peru. In addition, it was found that this model showed evidence of being strictly invariant among the three countries in the sequence of the invariance models proposed: metric invariance (ΔRMSEA = .000), scalar (ΔRMSEA = .008), and strict (ΔRMSEA = .008). The bi-factor model also showed adequate reliability indexes in the three countries. Conclusion It is concluded that the FACES III scale shows adequate psychometric performance under a bi-factor model in nursing and obstetric students from Colombia, Chile, and Mexico. The lack of fit of the model in Peru could be associated with the small sample size.

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