Rank Order Data and the Choice of a Correlation Input to Confirmatory Factor Analysis
Abstract
The consequences of factoring alternative correlation matrices are investigated assuming ordinal scale data. LISREL maximum likelihood solution algorithm is used for estimation. A single-factor model with a priori assigned loading values is studied via a simulation design. The performances of four selected correlation procedures, product-moment, polychoric, Spearman’s rho, and Kendall’s tau-b are compared under various design conditions. Implications of the study results are discussed.
Publication Title
Developments in Marketing Science: Proceedings of the Academy of Marketing Science
Recommended Citation
Babakus, E., & Boller, G. (2015). Rank Order Data and the Choice of a Correlation Input to Confirmatory Factor Analysis. Developments in Marketing Science: Proceedings of the Academy of Marketing Science, 361-365. https://doi.org/10.1007/978-3-319-13254-9_71
