Correlational analysis of ordinal data: from Pearson’s r to Bayesian polychoric correlation

By Jaehwa Choi, M. Peters, R. Mueller. 2010

146 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Food Science, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3b989f4512bb70fd388323bb2c351c513d0baaf9

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In Management Science and Operations Research

1. Sharon A. Dannels
2. Jinsong Chen
3. Sunhee Kim
4. Jaehwa Choi

Citations in the corpus

• CORRELACIONES POLICÓRICAS Y TETRACÓRICAS EN ESTUDIOS FACTORIALES EXPLORATORIOS Y CONFIRMATORIOS POLYCHORIC AND TETRACHORIC CORRELATIONS IN EXPLORATORY AND CONFIRMATORY FACTORIAL STUDIES (2015, unknown): “…que sí han efectuado estudios comparativos entre las dis-tintas metodologías, han encontrado evidencias favorables para las correlaciones TCC y PCC (Choi et. al., 2010; Holgado Tello et. al., 2010; Saris, Scherpenzeel & Wijk, 1998), en cuanto a mejor ajuste de los modelos, mayor robustez y mejores…”
• A Comparison of Maximum Likelihood and Bayesian Estimation for Polychoric Correlation Using Monte Carlo Simulation (2011, methodology): “Two commonly used estimation methods for PCC are ML (see Olsson, 1979, for more details on ML estimation of PCCs) and the more recently developed EAP (see Choi et al., 2010, for more details of EAP estimation).”