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Mulaik, Stanley A. – 1983
The overidentification of structural equation models with latent variables is discussed. The use of two- and three-indicator models is not recommended since such models do not allow a testing of the crucial assumption of unidimensionality among indicators in most cases. Models with four or more indicators may be more sensitive to departures from…
Descriptors: Factor Analysis, Mathematical Models, Multivariate Analysis, Path Analysis
Peer reviewedHoward, George S. – Counseling Psychologist, 1980
Reviews the issue of outcome criteria in the light of the relevance-rigor dimension. Counseling psychologists must find a more liberalized approach to research methodology upon which to construct human understanding. Inappropriate methods of data anlaysis are often used in multivariate research. A model for such experiments is suggested. (JAC)
Descriptors: Counseling Techniques, Data Analysis, Multivariate Analysis, Pretests Posttests
Carter, Rufus Lynn – Research & Practice in Assessment, 2006
Many times in both educational and social science research it is impossible to collect data that is complete. When administering a survey, for example, people may answer some questions and not others. This missing data causes a problem for researchers using structural equation modeling (SEM) techniques for data analyses. Because SEM and…
Descriptors: Structural Equation Models, Error of Measurement, Data, Change Strategies


