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Bollen, Kenneth A.; Bauldry, Shawn – Psychological Methods, 2011
In the last 2 decades attention to causal (and formative) indicators has grown. Accompanying this growth has been the belief that one can classify indicators into 2 categories: effect (reflective) indicators and causal (formative) indicators. We argue that the dichotomous view is too simple. Instead, there are effect indicators and 3 types of…
Descriptors: Statistical Analysis, Computation, Structural Equation Models, Expertise
Peer reviewedPaxton, Pamela; Curran, Patrick J.; Bollen, Kenneth A.; Kirby, Jim; Chen, Feinian – Structural Equation Modeling, 2001
Illustrates the design and planning of Monte Carlo simulations, presenting nine steps in planning and performing a Monte Carlo analysis from developing a theoretically derived question of interest through summarizing the results. Uses a Monte Carlo simulation to illustrate many of the relevant points. (SLD)
Descriptors: Monte Carlo Methods, Research Design, Simulation, Statistical Analysis
Hipp, John R.; Bauer, Daniel J.; Bollen, Kenneth A. – Structural Equation Modeling: A Multidisciplinary Journal, 2005
This article describes a SAS macro to assess model fit of structural equation models by employing a test of the model-implied vanishing tetrads. Use of this test has been limited in the past, in part due to the lack of software that fully automates the test in a user-friendly way. The current SAS macro provides a straightforward method for…
Descriptors: Alternative Assessment, Structural Equation Models, Computer Software, Evaluation Methods

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