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Psychometrika|August 12, 2021
ProcData: An R Package for Process Data AnalysisXueying Tang, Susu Zhang, Zhi Wang, et al.Psychometrika|December 2, 2016
Principal Covariates Clusterwise Regression (PCCR): Accounting for Multicollinearity and Population Heterogeneity in Hierarchically Organized DataTom Frans Wilderjans, Eva Vande Gaer, Henk A L Kiers, et al.Psychometrika|December 2, 2016
Regularized Latent Class Analysis with Application in Cognitive DiagnosisYunxiao Chen, Xiaoou Li, Jingchen Liu, et al.Psychometrika|February 18, 2014
Model-implied instrumental variable-generalized method of moments (MIIV-GMM) estimators for latent variable modelsKenneth A Bollen, Stanislav Kolenikov, Shawn BauldryPsychometrika|March 25, 2014
Analyses of model fit and robustness. A new look at the PISA scaling model underlying ranking of countries according to reading literacySvend Kreiner, Karl Bang ChristensenPsychometrika|March 25, 2014
Bayesian hierarchical multivariate formulation with factor analysis for nested ordinal dataTerrance D Savitsky, Daniel F McCaffreyPsychometrika|March 25, 2014
An inequality for correlations in unidimensional monotone latent variable models for binary variablesJules L EllisPsychometrika|February 19, 2017
Unifying Differential Item Functioning in Factor Analysis for Categorical Data Under a Discretization of a Normal VariantYu-Wei Chang, Nan-Jung Hsu, Rung-Ching TsaiPsychometrika|March 15, 2017
Dealing with Reflection Invariance in Bayesian Factor AnalysisElena A Erosheva, S McKay CurtisPsychometrika|October 6, 2016
Objective Bayesian Comparison of Constrained Analysis of Variance ModelsGuido Consonni, Roberta ParoliPageof 72