Analysis of paired comparison data using Mx

Rung Ching Tsai*, Tsung Lin Wu

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

5 引文 斯高帕斯(Scopus)

摘要

By postulating that the random utilities associated with the choice options follow a multivariate normal distribution, Thurstonian models (Thurstone, 1927) provide a straightforward representation of paired comparison data. The use of Monte Carlo Expectation-Maximization (MCEM) algorithms and limited information approaches have been proposed to overcome the estimation intractability in analyzing data with a large number of choice items. However, these approaches have not yet been implemented into standard statistical software. For paired comparison data with a medium number of items (≤6), it is possible to use the free software program Mx to obtain parameter estimates. This article shows how Mx can be used to obtain parameter estimates for Thurstonian paired comparison models. A number of simulations are conducted to assess its validity in obtaining the estimates in comparison to MCEM. In addition, 2 datasets are analyzed to demonstrate the use of MX in real applications.

原文英語
頁(從 - 到)73-91
頁數19
期刊Structural Equation Modeling
11
發行號1
DOIs
出版狀態已發佈 - 2004

ASJC Scopus subject areas

  • 決策科學 (全部)
  • 建模與模擬
  • 社會學與政治學
  • 經濟學、計量經濟學和金融學 (全部)

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