The Analysis of Structural Equation Model with Ranking Data Using Mx
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AbstractThis chapter presents an analysis of the structural equation model with ranking data using Mx program. Ranking data are obtained when subjects are asked to rank p objects from 1 (most preferred) to p (least preferred). A number of approaches have been developed to model and analyze ranking data. The Thurstonian approach accompanying structural equation modeling is a useful approach in modeling and analyzing ranking data. The relationship between analyzing ranking data and ordinal categorical data is explored in the chapter, making use of the readily available structural equation modeling procedures for analyzing ordinal categorical data to analyze ranking data. The Mx program, which can be downloaded at no cost, is used to illustrate the implementation of the maximum likelihood estimation procedure. The procedure is very flexible, enabling various kinds of Thurstonian model to be analyzed in an easy, straightforward, and efficient way. Various identification constraints, across parameters constraints, mean structures, as well as covariance and correlation structures can be incorporated into the analysis very easily. © 2007 Elsevier B.V. All rights reserved.
All Author(s) ListPoon W.-Y.
All Editor(s) Listed. by Sik-Yum Lee.
Detailed descriptioned. by Sik-Yum Lee.
Pages189 - 207
LanguagesEnglish-United Kingdom

Last updated on 2021-23-01 at 02:16