Theory and Methods

ISSN: 0033-3123 (Print) 1860-0980 (Online)

In this topical collection (121 articles)

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  1. No Access

    Theory and Methods

    A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis

    Christopher J. Urban, Daniel J. Bauer Pages 1-29

  2. No Access

    Theory and Methods

    Inferring the Number of Attributes for the Exploratory DINA Model

    Yinghan Chen, Ying Liu, Steven Andrew Culpepper, Yuguo Chen Pages 30-64

  3. No Access

    Theory and Methods

    Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis

    Chenchen Ma, Jimmy de la Torre, Gongjun Xu Pages 51-75

  4. Theory and Methods

    Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection

    Elena Geminiani, Giampiero Marra, Irini Moustaki Pages 65-95
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  5. No Access

    Theory and Methods

    Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment

    Junhao Pan, Edward Haksing Ip, Laurette Dubé Pages 75-100

  6. No Access

    Theory and Methods

    Accurate Assessment via Process Data

    Susu Zhang, Zhi Wang, Jitong Qi, Jingchen Liu, Zhiliang Ying Pages 76-97

  7. No Access

    Theory and Methods

    Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators

    Elissa Burghgraeve, Jan De Neve, Yves Rosseel Pages 96-130

  8. Theory and Methods

    A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models

    Maximilian S. Ernst, Aaron Peikert, Andreas M. Brandmaier, Yves Rosseel Pages 98-116
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  9. Theory and Methods

    Power Analysis and Sample Size Planning in ANCOVA Designs

    Gwowen Shieh Pages 101-120
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  10. No Access

    Theory and Methods

    Generic Identifiability of the DINA Model and Blessing of Latent Dependence

    Yuqi Gu Pages 117-131

  11. No Access

    Theory and Methods

    A Sparse Latent Class Model for Cognitive Diagnosis

    Yinyin Chen, Steven Culpepper, Feng Liang Pages 121-153

  12. No Access

    Theory and Methods

    Confidence Distribution for the Ability Parameter of the Rasch Model

    Piero Veronese, Eugenio Melilli Pages 131-166

  13. Theory and Methods

    Bi-factor and Second-Order Copula Models for Item Response Data

    Sayed H. Kadhem, Aristidis K. Nikoloulopoulos Pages 132-157
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  14. No Access

    Theory and Methods

    A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses

    Steven Andrew Culpepper Pages 158-174

  15. No Access

    OriginalPaper

    Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM

    Chun Wang Pages 167-189

  16. Theory and Methods

    Standardized Regression Coefficients and Newly Proposed Estimators for \({R}^{{2}}\) in Multiply Imputed Data

    Joost R. van Ginkel Pages 185-205
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  17. Theory and Methods

    Psychometric network models from time-series and panel data

    Sacha Epskamp Pages 206-231
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  18. Theory and Methods

    A Robust Effect Size Index

    Simon Vandekar, Ran Tao, Jeffrey Blume Pages 232-246
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  19. No Access

    OriginalPaper

    Modeling Within-Item Dependencies in Parallel Data on Test Responses and Brain Activation

    Minjeong Jeon, Paul De Boeck, Jevan Luo, Xiangrui Li, Zhong-Lin Lu Pages 239-271

  20. Theory and Methods

    Partial Identification of Latent Correlations with Ordinal Data

    Jonas Moss, Steffen Grønneberg Pages 241-252
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