Accuracy of the Parallel Analysis Procedure With Polychoric Correlations

By Sun-Joo Cho, Feiming Li, D. Bandalos. 2009

94 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Networks and Communications, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/2725668260fc8ee3b2b79fcd55e000f73b6186d7

How researchers see this paper

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

In Computer Networks and Communications

1. Urbano Lorenzo-Seva
2. L. E. Garrido
3. F. J. Abad
4. Vicente Ponsoda
5. Marieke E. Timmerman

In Statistics and Probability

1. Urbano Lorenzo-Seva
2. L. E. Garrido
3. F. J. Abad
4. Vicente Ponsoda
5. Marieke E. Timmerman
6. James Baglin
7. Pere J. Ferrando
8. Thomas Franke

Citations in the corpus

• Dimensionality assessment of ordered polytomous items with parallel analysis. (2011, background): “Previous studies on PA (Cho et al., 2009; Velicer et al., 2000; Weng & Cheng, 2005; Zwick & Velicer, 1986) have revealed that its performance is affected by sample size, number of variables per factor, number of factors, the distribution of the variables, the magnitude of the loadings, and, for poly”
• Performance of Velicer’s Minimum Average Partial Factor Retention Method With Categorical Variables (2011, background): “These seven factors have been shown to affect the performance of factor retention methods with continuous or categorical variables (Cho et al., 2009; Weng & Cheng, 2005; Zwick & Velicer, 1982, 1986).”