# Psychometric properties of the EDINA questionnaire for assessing self-esteem in childhood in a Peruvian population

## TL;DR

This study validates the EDINA questionnaire for measuring self-esteem in Peruvian children aged 4 to 7 years.

## Contribution

The study establishes the psychometric properties of the EDINA questionnaire in a Peruvian population.

## Key findings

- Content validity was confirmed with Aiken’s V ≥ 0.80 and three items were adjusted.
- EFA showed a unidimensional factor solution with strong inter-item correlations (KMO = 0.978).
- The multifactorial model showed better fit indices than the unidimensional model, but the latter was more acceptable.

## Abstract

This research aimed to establish and validate the psychometric properties of the EDINA Questionnaire in a Peruvian sample, given the impact of healthy self-esteem on emotional development. A sample of 630 children, aged between 4 and 7 years, selected from educational institutions in the Puno region, participated. Content validity was confirmed using Aiken’s V (V ≥ 0.80), assessed by a panel of 10 experts who evaluated criteria such as clarity, congruence, and cultural appropriateness. Three items were adjusted after analyzing the results of the 95% confidence interval. Exploratory factor analysis (EFA) resulted in a unidimensional factor solution in which all items presented loadings between 0.6 and 0.8; this procedure indicated a Kaiser–Meyer–Olkin value of KMO = 0.978 and a significant Bartlett’s test of sphericity (p = 0.000); therefore, there were sufficient inter-item correlations to support the use of this procedure. Additionally, the absence of multicollinearity was evidenced by correlation coefficients ranging between 0.4 and 0.7 in the correlation matrix. Regarding confirmatory factor analysis, the results indicate that the multifactorial model shows higher incremental fit indices (CFI = 0.95 and TLI = 0.947) than the unidimensional model (CFI = 0.948 and TLI = 0.937), indicating an adequate fit to the sample. Regarding the absolute fit index, the multifactorial model (RMSEA = 0.060) shows a better fit than the unidimensional model (RMSEA = 0.066); however, the unidimensional model is more acceptable.