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Peer reviewedSong, Xin-Yuan; Lee, Sik-Yum; Zhu, Hong-Tu – Structural Equation Modeling, 2001
Studied the maximum likelihood estimation of unknown parameters in a general LISREL-type model with mixed polytomous and continuous data through Monte Carlo simulation. Proposes a model selection procedure for obtaining good models for the underlying substantive theory and discusses the effectiveness of the proposed model. (SLD)
Descriptors: Maximum Likelihood Statistics, Monte Carlo Methods, Selection, Simulation
Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1996
A stochastic multidimensional unfolding (MDU) procedure is presented to represent individual differences in phased or sequential decision processes spatially. A Monte Carlo analysis demonstrates estimation proficiency and the appropriateness of the proposed model selection heuristic, and an application to capture awareness, consideration, and…
Descriptors: Cognitive Processes, Consumer Economics, Decision Making, Estimation (Mathematics)


