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Dyadic analysis of the inventory of family integration in fathers and mothers in the city of Arequipa

  • Walter Arias-Gallegos
  • , Sergio Dominguez-Lara
  • , Alejandra Acosta-Loayza
  • , Verónica Gutiérrez-Cieza
  • , Mitch Clark

Research output: Contribution to journalOriginal Articlepeer-review

Abstract

The present study analyzes the psychometric properties of the Inventory of Family Integration (IFI) by means of a dyadic analysis based on the responses of fathers and mothers in families from the city of Arequipa, southern Peru. For this purpose, 264 married couples living with their families were non-probabilistically selected and administered the 52-item IFI. An analysis of dimensionality and reliability was carried out, and a factorial invariance analysis was applied under a dyadic approach and, finally, a comparative analysis using Cohen's d was performed. The results reported moderate correlations between the values of fathers and mothers in each family holon: Personal, spousal, parental, sibling and familial. Likewise, the dimensionality fit of each holon in fathers and mothers was adequate with acceptable magnitudes, and the reliability indices calculated with Cronbach's alpha and McDonald's Omega tests were high. The five- factor internal structure and internal consistency in both fathers and mothers were corroborated.

Translated title of the contributionAnálisis diádico del Inventario de Integración Familiar en padres y madres de la ciudad de Arequipa
Original languageAmerican English
Pages (from-to)1-27
Number of pages27
JournalTerapia Psicologica
Volume42
Issue number1
DOIs
StateIndexed - Apr 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024, Sociedad Chilena de Psicologia Clinica. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Dyadic analysis
  • Family integration
  • Family systemic approach
  • Psychometrics

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