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Titre du document / Document title

A comparison of some methodologies for the factor analysis of non-normal Likert variables : a note on the size of the model

Auteur(s) / Author(s)

MUTHEN B. ; KAPLAN D. ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

Univ. California Los Angeles, graduate school education, Los Angeles CA 90024, ETATS-UNIS

Résumé / Abstract

This paper expands on a recent study by Muthen & Kaplan (1985) by examining the impact of non-normal Likert variables on testing and estimation in factor analysis for models of various size. Normal theory GLS and the recently developed ADF estimator are compared for six cases of non-normality, two sample sizes, and four models of increasing size in a Monte Carlo framework with a large number of replications. Results show that GLS and ADF chi-quare tests are increasingly sensitive to non-normality when the size of the model increases. No parameter estimate bias was observed for GLS and only slight parameter bias was found for ADF. A downward bias in estimated standard errors was found for GLS which remains constant across model size. For ADF, a downward bias in estimated standard errors was also found which became increasingly worse with the size of the model

Revue / Journal Title

British journal of mathematical & statistical psychology    ISSN  0007-1102   CODEN BJMSAK 

Source / Source

1992, vol. 45, no1, pp. 19-30 (14 ref.)

Langue / Language

Anglais

Editeur / Publisher

British Psychological Society, Leicester, ROYAUME-UNI  (1948) (Revue)

Mots-clés anglais / English Keywords

Comparative study

;

Methodology

;

Factor analysis

;

Parameter estimation

;

Statistical distribution

;

Gaussian distribution

;

Echelle Likert

;

Models

;

Sample size

;

Simulation

;

Monte Carlo method

;

Human

;

Mots-clés français / French Keywords

Etude comparative

;

Méthodologie

;

Analyse factorielle

;

Estimation paramètre

;

Distribution statistique

;

Loi normale

;

Echelle Likert

;

Modèle

;

Taille échantillon

;

Simulation

;

Méthode Monte Carlo

;

Homme

;

Non normalité

;

Mots-clés espagnols / Spanish Keywords

Estudio comparativo

;

Metodología

;

Análisis factorial

;

Estimación parámetro

;

Distribución estadística

;

Curva Gauss

;

Echelle Likert

;

Modelo

;

Tamaño muestra

;

Simulación

;

Método Monte Carlo

;

Hombre

;

Localisation / Location

INIST-CNRS, Cote INIST : 3116 B, 35400002856269.0020

Nº notice refdoc (ud4) : 5282972



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