Back to search

Virginia Polytechnic Institute and State University

The robustness of LISREL estimates in structural equation models with categorical data

Abstract

dc:description.abstract

This study was an examination of the effect of type of correlation matrix on the robustness of LISREL maximum likelihood and unweighted least squares structural parameter estimates for models with categorical manifest variables. Two types of correlation matrices were analyzed; one containing Pearson product-moment correlations and one containing tetrachoric, polyserial, and product-moment correlations as appropriate. Using continuous variables generated according to the equations defining the population model, three cases were considered by dichotomizing some of the variables with varying degrees of skewness. When Pearson product-moment correlations were used to estimate associations involving dichotomous variables, the structural parameter estimates were biased when skewness was present in the dichotomous variables. Moreover, the degree of bias was consistent for both the maximum likelihood and unweighted least squares estimates. The standard errors of the estimates were found to be inflated, making significance tests unreliable. The analysis of mixed matrices produced average estimates that more closely approximated the model parameters except in the case where the dichotomous variables were skewed in opposite directions. However, since goodness-of-fit statistics and standard errors are not available in LISREL when tetrachoric and polyserial correlations are used, the unbiased estimates are not of practical significance. Until alternative computer programs are available that employ distribution-free estimation procedures that consider the skewness and kurtosis of the variables, researchers are ill-advised to employ LISREL in the estimation of structural equation models containing skewed categorical manifest variables.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Educational Research and Evaluation
Department dc:contributor.department
Educational Research and Evaluation
Grantor dc:publisher
Virginia Polytechnic Institute and State University
Year dc:date.issued
1985

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ethington, Corinna A.
Chair dc:contributor.committeechair
  • Hinkle, Dennis E.
Committee members dc:contributor.committeemember
  • Wolfle, Lee M.
  • Cross, Lawrence H.
  • Smart, John C.
  • Schulman, Robert S.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10919/54504
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/54504

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Ethington, Corinna A.. The robustness of LISREL estimates in structural equation models with categorical data. doctoral thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/54504