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

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.

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Publication Details

Journal
Frontiers in Psychology
Published
2026-03-12
DOI
https://doi.org/10.3389/fpsyg.2025.1661570
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Eddy Wildmar Aquize Anco, Miliam Quispe-Vargas, Neftali Torres-Tapia, Calixto Tapullima-Mori
Frontiers in Psychology
Psychometric Methodologies and Testing
article

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

Eddy Wildmar Aquize Anco, Miliam Quispe-Vargas, Neftali Torres-Tapia, Calixto Tapullima-Mori
article en

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.

Frontiers in PsychologyVol. 16
Jorge Basadre Grohmann National University (PE), Universidad Peruana Unión (PE)
Quality Education
Openalex Percentile: Top 30%
Psychometric Methodologies and Testing
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