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de Leeuw, Christiaan; Klugkist, Irene – Multivariate Behavioral Research, 2012
In most research, linear regression analyses are performed without taking into account published results (i.e., reported summary statistics) of similar previous studies. Although the prior density in Bayesian linear regression could accommodate such prior knowledge, formal models for doing so are absent from the literature. The goal of this…
Descriptors: Data, Multiple Regression Analysis, Bayesian Statistics, Models
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Woods, Carol M. – Multivariate Behavioral Research, 2008
Person fit is the degree to which an item response model fits for individual examinees. Reise (2000) described how two-level logistic regression can be used to detect heterogeneity in person fit, evaluate potential predictors of person fit heterogeneity, and identify potentially aberrant individuals. The method has apparently never been applied to…
Descriptors: Simulation, Test Reliability, Measures (Individuals), Item Response Theory
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Morris, John D.; Huberty, Carl J. – Multivariate Behavioral Research, 1987
The cross-validated classification accuracies of three predictor weighting strategies (least squares, ridge regression, and reduced rank) were compared under varying simulated data conditions for the two-group classification problem. Results were somewhat similar to previous findings with multiple regression when absolute rather than relative…
Descriptors: Algorithms, Multiple Regression Analysis, Predictor Variables, Simulation
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Ford, David L.; And Others – Multivariate Behavioral Research, 1978
Econometric techniques for estimating the parameters of individual and group multi-attribute utility models are discussed. These techniques permit measurement of intra-and inter-individual heterogeneity with regard to the importance ascribed to the model attributes. (Author/JKS)
Descriptors: Economic Research, Higher Education, Individual Characteristics, Mathematical Models