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Direct linkLam, Kar Yin; Koning, Alex J.; Franses, Philip Hans – Multivariate Behavioral Research, 2011
We consider the estimation of probabilistic ranking models in the context of conjoint experiments. By using approximate rather than exact ranking probabilities, we avoided the computation of high-dimensional integrals. We extended the approximation technique proposed by Henery (1981) in the context of the Thurstone-Mosteller-Daniels model to any…
Descriptors: Probability, Evaluation Research, Computation, Experiments
Peer reviewedMcArdle, John J. – Multivariate Behavioral Research, 1994
Benefits and limitations of structural equation models for multivariate experiments with incomplete data are presented. Examples from studies of latent variable path models of cognitive performance illustrate analyses with latent variables, omitted variables, randomly missing data, and nonrandomly missing data. (SLD)
Descriptors: Cost Effectiveness, Experiments, Factor Analysis, Longitudinal Studies
