Polychoric versus Pearson correlations in exploratory and confirmatory factor analysis of ordinal variables

By Francisco Pablo Holgado Tello, S. Moscoso, Isabel Barbero García, E. V. Abad. 2010

551 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8e0055f2aef33e8964c86b9e6a1b28c78da66141

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. Jesús M. Alvarado
2. Marley W. Watkins

In Statistics and Probability

1. Jesús M. Alvarado
2. Marley W. Watkins
3. Serena Carpenter

Citations in the corpus

• Exploratory Factor Analysis: A Guide to Best Practice (2018, background): “Results from both simulated and real data have converged to indicate that polychoric correlations are more likely to recover the true factor model than are Pearson correlations (Baglin, 2014; Barendse, Oort, & Timmerman, 2015; Flora et al., 2012; Holgado-Tello et al., 2010; Lee, Zhang, & Edwards, 20”
• Developing Multidimensional Likert Scales Using Item Factor Analysis (2016, background): “…in dichotomous or ordinal data with few response alternatives and that both procedures tend to converge when five or more response alternatives are available (Beauducel and Herzberg 2006; DiStefano 2002; Dolan 1994; Holgado– Tello et al. 2010; Rhemtulla, Brosseau-Liard, and Savalei 2012).”
• CORRELACIONES POLICÓRICAS Y TETRACÓRICAS EN ESTUDIOS FACTORIALES EXPLORATORIOS Y CONFIRMATORIOS POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES (2015, unknown): “…(WLS robusto)-, y otros menos apropiados pero pasi-bles de ser utilizados -como mínimos cuadrados no ponderados (ULS) y mínimos cuadrados generalizados (GLS)- (Bollen, 1989; Brown, 2006; Christoffersson, 1975; Flora & Curran, 2004; Holgado Tello et al., 2010; Jöreskog & Sörbom, 1999; Kline, 2005).”