Abstract
Examines multivariate analysis with latent variables and, more narrowly, linear structural equation models (simultaneous equations, path analysis, structural relations, and covariance structures) with unobserved or unmeasured variables. Basic concepts are discussed: model specification, research design model testing, and model reconfirmation and modification; and research on attitude–behavior relations is reviewed within this context. An overview of the field of multivariate analysis is given, including a guide to the literature, a discussion of professional issues, and recent technological developments in mathematical structures and statistical problems.
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