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Selecting an Augmented Random Effects Model
Mathematical Methods of Statistics, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Modeling of the ARMA random effects covariance matrix in logistic random effects models
Statistical Methods & Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lee, Keunbaik +2 more
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2010
Cluster-speci_c item e_ects parameters are introduced that are assumed to vary over clusters of respondents. The modeling of cluster-speci_c item parameters relaxes the assumptions of measurement invariance. Item characteristic di_erences are simply allowed, and it is not necessary to classify items as being invariant or noninvariant.
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Cluster-speci_c item e_ects parameters are introduced that are assumed to vary over clusters of respondents. The modeling of cluster-speci_c item parameters relaxes the assumptions of measurement invariance. Item characteristic di_erences are simply allowed, and it is not necessary to classify items as being invariant or noninvariant.
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Examples. Random-effects models
1994Abstract In this chapter random-effects methods are illustrated for the five datasets introduced in Section 2.2. The analyses are incomplete and they highlight the need for analysis with more general patterns of between-cluster variation.
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Prediction of random effects with misspecified AFT random effect models
Journal of the Korean Data And Information Science Society, 2022Lin Hao, Il-Do Ha
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