This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Brown, R. L. Search for Related Content Social Bookmarking                         What's this?

The Effect of Collapsing Ordered Polytomous Scales on Parameter Estimates in Structural Equation Measurement Models

Department of Family Medicine—Biostatistics Unit and University of Wisconsin Clinical Cancer Center—Biostatistics Center, University of Wisconsin Medical School

This study explores the influence collapsing ordered polytomous variable scales has on structural equation measurement model parameter estimates. Four parameter estimation procedures (i.e., NTGLS, ADF, POLYCHORIC, and TOBIT) were investigated for their efficacy in recovering simulated structural equation measurement model parameters at three different scale collapse levels. Results from a Monte Carlo study indicate that both NTGLS and ADF procedures performed poorly in the recovery of the estimates, whereas the latent projection procedures (i.e., POLYCHORIC and TOBIT) performed well. Although a slight improvement was noticed in the estimates for the NTGLS and ADF procedures, while collapsing the scales, this result was considered trivial. The latent projection procedures were not affected by changes in scale level.

Educational and Psychological Measurement, Vol. 51, No. 2, 317-328 (1991)
DOI: 10.1177/0013164491512005


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?