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Markus, Keith A. – Structural Equation Modeling, 2000
Explores the four-step procedure for testing structural equation models and outlines some problems with the approach advocated by L. Hayduk and D. Glaser (2000) and S. Mulaik and R. Milsap (2000). Questions the idea that there is a "correct" number of constructs for a given phenomenon. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models

Hayduk, Leslie A.; Glaser, Dale N. – Structural Equation Modeling, 2000
Focuses on the four-step method (four nested models) of structural equation modeling advocated by S. Mulaik (1997, 1998), discussing the limitations of the approach and considering the tests and criteria to be used in moving among the four steps. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models

Mulaik, Stanley A.; Millsap, Roger E. – Structural Equation Modeling, 2000
Defends the four-step approach to structural equation modeling based on testing sequences of models and points out misunderstandings of opponents of the approach. The four-step approach allows the separation of respective constraints within a structural equation model. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models

Bollen, Kenneth A. – Structural Equation Modeling, 2000
Neither the four-step model nor the one-step procedure can actually tell whether the researcher has the right number of factors in structural equation modeling. In fact, for reasons discussed, a simple formulaic approach to the correct specification of models does not yet exist. (SLD)
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models

Herting, Jerald R.; Costner, Herbert L. – Structural Equation Modeling, 2000
Examines some positions in various arguments related to the proper number of factors and proper number of steps when using structural equation models. Defines the issue in estimating structural equation models as a problem of specifying a model appropriately based on theoretical concerns and then diagnosing ills in the model as well as possible.…
Descriptors: Factor Analysis, Factor Structure, Research Methodology, Structural Equation Models

Bentler, Peter M. – Structural Equation Modeling, 2000
Discusses issues related to model evaluation in structural equation modeling. Supports nested model comparisons via sequential chi-square difference tests as consistent with the four-step approach to model evaluation when models of the factor analytic simultaneous equation type are entertained. (Author/SLD)
Descriptors: Chi Square, Evaluation Methods, Factor Analysis, Factor Structure
Allal, Linda – 1986
This paper discusses the theoretical scope and practical applicability of generalizability (G) theory through the principle of symmetry. Major ideas are summarized and factors hindering applications of G theory in research conducted in French-speaking Europe are presented. The principle of symmetry affirms that any factor of a design can be…
Descriptors: Data Collection, Educational Research, Factor Analysis, Factor Structure
Volkan, Kevin – 1989
The latent structure, reliability, and item discrimination of 33 items on a Centers for Disease Control (CDC) instrument representing knowledge, attitudes, and beliefs about the acquired immune deficiency syndrome (AIDS) were assessed. The study sample included 311 adolescents ranging from ages 12 to 19 years. Demographic characteristics of the…
Descriptors: Acquired Immune Deficiency Syndrome, Adolescents, At Risk Persons, Attitude Measures