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Es habitual utilizar muestras de conveniencia generalmente estudiantes universitariospero tienen dos problemas: Procedures for Personality and Psychological Research. En cambio, a pesar de ser recomendado en numerosos estudios, este criterio se utiliza escasamente.

Minimum sample size recommendations for conducting factor analyses.

Principles and practice of structural equation modeling 2nd Edition ed. A new look at the big five factor structure through exploratory structural equation modeling. Psychological Methods, 9, The theoretical status of latent variables.

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Multivariate Behavioral Research, 47, This review and the guide with the corresponding recommendations have been articulated in four large blocks: Exploratory Item Factor Analysis: An integration of ls best features of exploratory and confirmatory factor analysis. Quality and Quantity, psivometria 1 A basis for multidimensional item response theory. In search of Golden Rules: The scree test for the number of factors. An overview of analytic rotation in exploratory factor analysis.

A review and recommended two-step approach. Stopping rules for determmmg the number of non-trivial axes revisited.

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Factor retention decisions in exploratory factor analysis: Estas recomendaciones tienen solo validez como punto de partida. Factor structure recovery for dichotomous items.

Use of structure coefficients in published multiple regression articles: A critical review and analysis. Concretamente, Ford et al.

Nuestro objetivo es claro: Multivariate Behavioral Research, 25 1 A second generation Little Jiffy. How many principal components?

Confirmatory factor analysis for applied research. Mplus user’sguide 5 th ed.

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International Journal of Clinical and Health Psychology, 9 2 Journal of Psychoeducational Assessment, 29, Exploratory structural equation modeling. The weighted varimax rotation and the promax rotation.

Y tercero, utilizando ese software para analizar la estructura factorial de tres escalas -D Anstey, Otros en cambio consideran aceptable valores en el rango 1. The observation to variable ratio in factor analysis. Applied Psychological Measurement, 25, p. A rationale and test for the number of factors in a factor analysis.