Psychometrika

1936 - 2024

Current editor(s): Irini Moustaki

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Springer
The Psychometric Society
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Volume 88, issue 4, 2023

DIF Statistical Inference Without Knowing Anchoring Items pp. 1097-1122

Yunxiao Chen, Chengcheng Li, Jing Ouyang and Gongjun Xu

Diagnosing and Handling Common Violations of Missing at Random pp. 1123-1143

Feng Ji, Sophia Rabe-Hesketh and Anders Skrondal

A two-step estimator for multilevel latent class analysis with covariates pp. 1144-1170

Roberto Mari, Zsuzsa Bakk, Jennifer Oser and Jouni Kuha

Designing Optimal, Data-Driven Policies from Multisite Randomized Trials pp. 1171-1196

Youmi Suk and Chan Park

Joint Latent Space Model for Social Networks with Multivariate Attributes pp. 1197-1227

Selena Wang, Subhadeep Paul and Paul Boeck

Maximum Augmented Empirical Likelihood Estimation of Categorical Marginal Models for Large Sparse Contingency Tables pp. 1228-1248

L. Andries Ark, Wicher P. Bergsma and Letty Koopman

Power Analysis for the Wald, LR, Score, and Gradient Tests in a Marginal Maximum Likelihood Framework: Applications in IRT pp. 1249-1298

Felix Zimmer, Clemens Draxler and Rudolf Debelak

Three Psychometric-Model-Based Option-Scored Multiple Choice Item Design Principles that Enhance Instruction by Improving Quiz Diagnostic Classification of Knowledge Attributes pp. 1299-1333

William Stout, Robert Henson and Lou DiBello

A General Theorem and Proof for the Identification of Composed CFA Models pp. 1334-1353

R. Maximilian Bee, Tobias Koch and Michael Eid

Dynamic Response Strategies: Accounting for Response Process Heterogeneity in IRTree Decision Nodes pp. 1354-1380

Viola Merhof and Thorsten Meiser

Sparse and Simple Structure Estimation via Prenet Penalization pp. 1381-1406

Kei Hirose and Yoshikazu Terada

A Mixed Stochastic Approximation EM (MSAEM) Algorithm for the Estimation of the Four-Parameter Normal Ogive Model pp. 1407-1442

Xiangbin Meng and Gongjun Xu

The Bradley–Terry Regression Trunk approach for Modeling Preference Data with Small Trees pp. 1443-1465

Alessio Baldassarre, Elise Dusseldorp, Antonio D’Ambrosio, Mark de Rooij and Claudio Conversano

Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments pp. 1466-1494

Satoshi Usami

A Bayesian Approach Towards Missing Covariate Data in Multilevel Latent Regression Models pp. 1495-1528

Christian Aßmann, Jean-Christoph Gaasch and Doris Stingl

How Social Networks Influence Human Behavior: An Integrated Latent Space Approach for Differential Social Influence pp. 1529-1555

Jina Park, Ick Hoon Jin and Minjeong Jeon

Estimating and Using Block Information in the Thurstonian IRT Model pp. 1556-1589

Susanne Frick

Erratum to: Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments pp. 1590-1590

Satoshi Usami

Erratum to: Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models” pp. 1591-1591

Weicong Lyu and Daniel M. Bolt

Erratum to: A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data pp. 1592-1592

Inhan Kang, Dylan Molenaar and Roger Ratcliff

Volume 88, issue 3, 2023

Item-Specific Factors in IRTree Models: When They Matter and When They Don’t pp. 739-744

Thorsten Meiser and Fabiola Reiber

Exploring the Effects of Item-Specific Factors in Sequential and IRTree Models pp. 745-775

Weicong Lyu, Daniel M. Bolt and Samuel Westby

Factor Tree Copula Models for Item Response Data pp. 776-802

Sayed H. Kadhem and Aristidis K. Nikoloulopoulos

Commentary: Explore Conditional Dependencies in Item Response Tree Data pp. 803-808

Minjeong Jeon

Random Effects Multinomial Processing Tree Models: A Maximum Likelihood Approach pp. 809-829

Steffen Nestler and Edgar Erdfelder

A Latent Space Diffusion Item Response Theory Model to Explore Conditional Dependence between Responses and Response Times pp. 830-864

Inhan Kang, Minjeong Jeon and Ivailo Partchev

Rotating Factors to Simplify Their Structural Paths pp. 865-887

Guangjian Zhang, Minami Hattori and Lauren A. Trichtinger

The Dirichlet Dual Response Model: An Item Response Model for Continuous Bounded Interval Responses pp. 888-916

Matthias Kloft, Raphael Hartmann, Andreas Voss and Daniel W. Heck

Fitting and Testing Log-Linear Subpopulation Models with Known Support pp. 917-939

David J. Hessen

A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data pp. 940-974

Inhan Kang, Dylan Molenaar and Roger Ratcliff

Multinomial Logistic Factor Regression for Multi-source Functional Block-wise Missing Data pp. 975-1001

Xiuli Du, Xiaohu Jiang and Jinguan Lin

Measuring Agreement Using Guessing Models and Knowledge Coefficients pp. 1002-1025

Jonas Moss

Rejoinder to Commentaries on Lyu, Bolt and Westby’s “Exploring the Effects of Item Specific Factors in Sequential and IRTree Models” pp. 1026-1031

Weicong Lyu and Daniel M. Bolt

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology pp. 1032-1055

Sierra A. Bainter, Thomas G. McCauley, Mahmoud M. Fahmy, Zachary T. Goodman, Lauren B. Kupis and J. Sunil Rao

Incorporating Functional Response Time Effects into a Signal Detection Theory Model pp. 1056-1086

Sun-Joo Cho, Sarah Brown-Schmidt, Paul De Boeck, Matthew Naveiras, Si On Yoon and Aaron Benjamin

Book Review of Item Response Theory by Bock & Gibbons pp. 1087-1091

Ji Seung Yang, Yang Liu and Sungyeun Kim

Book Review of Essays on Contemporary Psychometrics by Van der Ark, Emons & Meijer pp. 1092-1095

Youn Seon Lim

Volume 88, issue 2, 2023

Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis pp. 361-386

Ying Liu, Steven Andrew Culpepper and Yuguo Chen

A Test to Distinguish Monotone Homogeneity from Monotone Multifactor Models pp. 387-412

Jules L. Ellis and Klaas Sijtsma

Advantages of Using Unweighted Approximation Error Measures for Model Fit Assessment pp. 413-433

Dirk Lubbe

Blind Subgrouping of Task-based fMRI pp. 434-455

Zachary F. Fisher, Jonathan Parsons, Kathleen M. Gates and Joseph B. Hopfinger

Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models pp. 456-486

Øystein Sørensen, Anders M. Fjell and Kristine B. Walhovd

Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation pp. 487-526

Hiroshi Tamano and Daichi Mochihashi

Rotation to Sparse Loadings Using $$L^p$$ L p Losses and Related Inference Problems pp. 527-553

Xinyi Liu, Gabriel Wallin, Yunxiao Chen and Irini Moustaki

The Dependence of Chance-Corrected Weighted Agreement Coefficients on the Power Parameter of the Weighting Scheme: Analysis and Measurement pp. 554-579

Rutger Oest

A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses pp. 580-612

Zhenghao Zeng, Yuqi Gu and Gongjun Xu

Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models pp. 613-635

Yinghan Chen, Steven Andrew Culpepper and Yuguo Chen

Detecting Changes in Correlation Networks with Application to Functional Connectivity of fMRI Data pp. 636-655

Changryong Baek, Benjamin Leinwand, Kristen A. Lindquist, Seok-Oh Jeong, Joseph Hopfinger, Katheleen M. Gates and Vladas Pipiras

Commentary on “Extending the Basic Local Independence Model to Polytomous Data” by Stefanutti, de Chiusole, Anselmi, and Spoto pp. 656-671

Chia-Yi Chiu, Hans Friedrich Köhn and Wenchao Ma

Sequential Generalized Likelihood Ratio Tests for Online Item Monitoring pp. 672-696

Hyeon-Ah Kang

Modeling Eye Movements During Decision Making: A Review pp. 697-729

Michel Wedel, Rik Pieters and Ralf Lans

Book Review of Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables by Henseler pp. 730-732

Laura Trinchera

Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser pp. 733-737

Ihnwhi Heo, Fan Jia and Sarah Depaoli

Volume 88, issue 1, 2023

Bayesian Dynamic Borrowing of Historical Information with Applications to the Analysis of Large-Scale Assessments pp. 1-30

David Kaplan, Jianshen Chen, Sinan Yavuz and Weicong Lyu

Ignoring Non-ignorable Missingness pp. 31-50

Sophia Rabe-Hesketh and Anders Skrondal

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis pp. 51-75

Chenchen Ma, Jimmy Torre and Gongjun Xu

Accurate Assessment via Process Data pp. 76-97

Susu Zhang, Zhi Wang, Jitong Qi, Jingchen Liu and Zhiliang Ying

A Note on the Connection Between Trek Rules and Separable Nonlinear Least Squares in Linear Structural Equation Models pp. 98-116

Maximilian S. Ernst, Aaron Peikert, Andreas M. Brandmaier and Yves Rosseel

Generic Identifiability of the DINA Model and Blessing of Latent Dependence pp. 117-131

Yuqi Gu

Bi-factor and Second-Order Copula Models for Item Response Data pp. 132-157

Sayed H. Kadhem and Aristidis K. Nikoloulopoulos

A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses pp. 158-174

Steven Andrew Culpepper

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models pp. 175-207

Chenchen Ma, Jing Ouyang and Gongjun Xu

An Extended GFfit Statistic Defined on Orthogonal Components of Pearson’s Chi-Square pp. 208-240

Mark Reiser, Silvia Cagnone and Junfei Zhu

Partial Identification of Latent Correlations with Ordinal Data pp. 241-252

Jonas Moss and Steffen Grønneberg

Accurate Confidence and Bayesian Interval Estimation for Non-centrality Parameters and Effect Size Indices pp. 253-273

Kaidi Kang, Megan T. Jones, Kristan Armstrong, Suzanne Avery, Maureen McHugo, Stephan Heckers and Simon Vandekar

On Reverse Shrinkage Effects and Shrinkage Overshoot pp. 274-301

Pascal Jordan

Scalable Bayesian Approach for the Dina Q-Matrix Estimation Combining Stochastic Optimization and Variational Inference pp. 302-331

Motonori Oka and Kensuke Okada

Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data pp. 332-356

Meredith Langi and Minjeong Jeon