SciELO - Scientific Electronic Library Online

 
vol.17 número4Efectos de un entrenamiento de habilidades sociales en el comportamiento y desempeño académico índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Avaliação Psicológica

versión impresa ISSN 1677-0471versión On-line ISSN 2175-3431

Resumen

SILVA, Marli Appel da; WENDT, Guilherme Welter; ARGIMON, Irani Iracema de Lima  y  LOPES, Regina Maria Fernandes. Techniques for correction the chi-square test for non-normal samples. Aval. psicol. [online]. 2018, vol.17, n.4, pp. 407-416. ISSN 1677-0471.  http://dx.doi.org/10.15689/ap.2018.1704.13238.01.

This paper aims to evaluate techniques for correcting the chi-square test (X2) as applied to Confirmatory Factor Analysis (CFA) models in non-normal data. In a simulated and exploratory approach, distinct distributions were analyzed in terms of multivariate kurtosis. In most situations, it was observed a tendency of the analyzed tests to produce differing corrections on the X2 values, as well as for the CFI and RMSEA values. Among other tests evaluated, this study suggested the use of the Elliptical Test with Least Squares (Elliptical Theory), Heterogeneous Kurtosis Test with Reweighted Least Squares (Heterogeneous Kurtosis Theory) and Satorra-Bentler Scaled Test with Maximum Likelihood estimation (for distributions with excessive univariate asymmetry and/or kurtosis). However, due to the correction factor, the Satorra-Bentler Scaled test can accept moderately poorly specified models in the presence of extreme kurtosis.

Palabras clave : chi-square test; non-normal distribution; confirmatory factor analysis.

        · resumen en Español | Portugués     · texto en Portugués     · Portugués ( pdf )

 

Creative Commons License