Psychometrika

1936 - 2024

Current editor(s): Irini Moustaki

From:
Springer
The Psychometric Society
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Volume 87, issue 4, 2022

Item Complexity: A Neglected Psychometric Feature of Test Items? pp. 1195-1213

Daniel M. Bolt and Xiangyi Liao

Incomplete Tests of Conditional Association for the Assessment of Model Assumptions pp. 1214-1237

Rudy Ligtvoet

Item Response Thresholds Models: A General Class of Models for Varying Types of Items pp. 1238-1269

Gerhard Tutz

Analysis of the Weighted Kappa and Its Maximum with Markov Moves pp. 1270-1289

Fabio Rapallo

Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing pp. 1290-1317

Fang Liu, Xiaojing Wang, Roeland Hancock and Ming-Hui Chen

The Reliability Factor: Modeling Individual Reliability with Multiple Items from a Single Assessment pp. 1318-1342

Stephen R. Martin and Philippe Rast

Identifiability of Latent Class Models with Covariates pp. 1343-1360

Jing Ouyang and Gongjun Xu

Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models pp. 1361-1389

Shi-Fang Qiu, Man-Lai Tang, Ji-Ran Tao and Ricky S. Wong

Direct Estimation of Diagnostic Classification Model Attribute Mastery Profiles via a Collapsed Gibbs Sampling Algorithm pp. 1390-1421

Kazuhiro Yamaguchi and Jonathan Templin

Procrustes Analysis for High-Dimensional Data pp. 1422-1438

Angela Andreella and Livio Finos

On the Information Obtainable from Comparative Judgments pp. 1439-1472

Paul-Christian Bürkner

Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework pp. 1473-1502

Siliang Zhang and Yunxiao Chen

A Unified Neural Network Framework for Extended Redundancy Analysis pp. 1503-1528

Ranjith Vijayakumar, Ji Yeh Choi and Eun Hwa Jung

DIAGNOSTIC Classification Analysis of Problem-Solving Competence using Process Data: An Item Expansion Method pp. 1529-1547

Peida Zhan and Xin Qiao

A Latent Variable Mixed-Effects Location Scale Model with an Application to Daily Diary Data pp. 1548-1570

Shelley A. Blozis

Book Review Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment pp. 1571-1574

Esther Ulitzsch

Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data pp. 1575-1578

Gerko Vink

Volume 87, issue 3, 2022

The Role of Conditional Likelihoods in Latent Variable Modeling pp. 799-834

Anders Skrondal and Sophia Rabe-Hesketh

Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach pp. 835-867

Jinxin Guo, Xin Xu, Zhiliang Ying and Susu Zhang

Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models pp. 868-901

Christian Gische and Manuel C. Voelkle

Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models pp. 902-902

Christian Gische and Manuel C. Voelkle

Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation pp. 903-945

James Joseph Balamuta and Steven Andrew Culpepper

Bayesian Mixture Model of Extended Redundancy Analysis pp. 946-966

Minjung Kyung, Ju-Hyun Park and Ji Yeh Choi

Factor Analysis Procedures Revisited from the Comprehensive Model with Unique Factors Decomposed into Specific Factors and Errors pp. 967-991

Kohei Adachi

Noncompensatory MIRT For Passage-Based Tests pp. 992-1009

Nana Kim, Daniel M. Bolt and James Wollack

Learning Large Q-Matrix by Restricted Boltzmann Machines pp. 1010-1041

Chengcheng Li, Chenchen Ma and Gongjun Xu

Obituary: Bruce McArthur Bloxom 1938–2020 pp. 1042-1044

W. Alan Nicewander and Joseph Lee Rodgers

Rotation in Correspondence Analysis from the Canonical Correlation Perspective pp. 1045-1063

Naomichi Makino

A Note on the Structural Change Test in Highly Parameterized Psychometric Models pp. 1064-1080

K. B. S. Huth, L. J. Waldorp, J. Luigjes, A. E. Goudriaan, R. J. Holst and M. Marsman

Estimation of Effect Heterogeneity in Rare Events Meta-Analysis pp. 1081-1102

Heinz Holling, Katrin Jansen, Walailuck Böhning, Dankmar Böhning, Susan Martin and Patarawan Sangnawakij

A Censored Mixture Model for Modeling Risk Taking pp. 1103-1129

Nienke F. S. Dijkstra, Henning Tiemeier, Bernd Figner and Patrick J. F. Groenen

Frequentist Model Averaging in Structure Equation Model With Ordinal Data pp. 1130-1145

Shaobo Jin

Asymptotic Posterior Normality of Multivariate Latent Traits in an IRT Model pp. 1146-1172

Mia J. K. Kornely and Maria Kateri

Computation and application of generalized linear mixed model derivatives using lme4 pp. 1173-1193

Ting Wang, Benjamin Graves, Yves Rosseel and Edgar C. Merkle

Volume 87, issue 2, 2022

Penalized Estimation and Forecasting of Multiple Subject Intensive Longitudinal Data pp. 1-29

Zachary F. Fisher, Younghoon Kim, Barbara L. Fredrickson and Vladas Pipiras

Guest Editors’ Introduction to the Special Issue on Forecasting with Intensive Longitudinal Data pp. 373-375

Peter F. Halpin, Kathleen Gates and Siwei Liu

Bayesian Forecasting with a Regime-Switching Zero-Inflated Multilevel Poisson Regression Model: An Application to Adolescent Alcohol Use with Spatial Covariates pp. 376-402

Yanling Li, Zita Oravecz, Shuai Zhou, Yosef Bodovski, Ian J. Barnett, Guangqing Chi, Yuan Zhou, Naomi P. Friedman, Scott I. Vrieze and Sy-Miin Chow

A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models pp. 432-476

Ginette Lafit, Kristof Meers and Eva Ceulemans

Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data pp. 477-505

Michael D. Hunter, Haya Fatimah and Marina A. Bornovalova

A Lasso and a Regression Tree Mixed-Effect Model with Random Effects for the Level, the Residual Variance, and the Autocorrelation pp. 506-532

Steffen Nestler and Sarah Humberg

Forecasting Intra-individual Changes of Affective States Taking into Account Inter-individual Differences Using Intensive Longitudinal Data from a University Student Dropout Study in Math pp. 533-558

Augustin Kelava, Pascal Kilian, Judith Glaesser, Samuel Merk and Holger Brandt

Control Theory Forecasts of Optimal Training Dosage to Facilitate Children’s Arithmetic Learning in a Digital Educational Application pp. 559-592

Sy-Miin Chow, Jungmin Lee, Abe D. Hofman, Han L. J. Maas, Dennis K. Pearl and Peter C. M. Molenaar

A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data pp. 593-619

Esther Ulitzsch, Steffi Pohl, Lale Khorramdel, Ulf Kroehne and Matthias Davier

Better Information From Survey Data: Filtering Out State Dependence Using Eye-Tracking Data pp. 620-665

Joachim Büschken, Ulf Böckenholt, Thomas Otter and Daniel Stengel

Semiparametric Factor Analysis for Item-Level Response Time Data pp. 666-692

Yang Liu and Weimeng Wang

An Empirical Q-Matrix Validation Method for the Polytomous G-DINA Model pp. 693-724

Jimmy de la Torre, Xue-Lan Qiu and Kevin Carl Santos

Modeling Conditional Dependence of Response Accuracy and Response Time with the Diffusion Item Response Theory Model pp. 725-748

Inhan Kang, Paul Boeck and Roger Ratcliff

Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation pp. 749-772

Björn E. Hommel, Franz-Josef M. Wollang, Veronika Kotova, Hannes Zacher and Stefan C. Schmukle

Modeling Faking in the Multidimensional Forced-Choice Format: The Faking Mixture Model pp. 773-794

Susanne Frick

Book Review of the Handbook of Graphical Models pp. 795-796

Lourens Waldorp

Erratum to: Two Filtering Methods of Forecasting Linear and Nonlinear Dynamics of Intensive Longitudinal Data pp. 797-797

Michael D. Hunter, Haya Fatimah and Marina A. Bornovalova

Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data pp. 798-798

Esther Ulitzsch, Steffi Pohl, Lale Khorramdel, Ulf Kroehne and Matthias Davier

Volume 87, issue 1, 2022

Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems pp. 1-11

Maarten Marsman and Mijke Rhemtulla

Meta-analytic Gaussian Network Aggregation pp. 12-46

Sacha Epskamp, Adela-Maria Isvoranu and Mike W.-L. Cheung

Objective Bayesian Edge Screening and Structure Selection for Ising Networks pp. 47-82

M. Marsman, K. Huth, L. J. Waldorp and I. Ntzoufras

Estimating Finite Mixtures of Ordinal Graphical Models pp. 83-106

Kevin H. Lee, Qian Chen, Wayne S. DeSarbo and Lingzhou Xue

ConNEcT: A Novel Network Approach for Investigating the Co-occurrence of Binary Psychopathological Symptoms Over Time pp. 107-132

Nadja Bodner, Laura Bringmann, Francis Tuerlinckx, Peter Jonge and Eva Ceulemans

Disentangling relationships in symptom networks using matrix permutation methods pp. 133-155

Michael J. Brusco, Douglas Steinley and Ashley L. Watts

Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections pp. 156-187

Hudson Golino, Alexander P. Christensen, Robert Moulder, Seohyun Kim and Steven M. Boker

On the Control of Psychological Networks pp. 188-213

Teague R. Henry, Donald J. Robinaugh and Eiko I. Fried

Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality pp. 214-252

Oisín Ryan and Ellen L. Hamaker

Possible Futures for Network Psychometrics pp. 253-265

Denny Borsboom

Multidimensional Item Response Theory in the Style of Collaborative Filtering pp. 266-288

Yoav Bergner, Peter Halpin and Jill-Jênn Vie

Second-Order Disjoint Factor Analysis pp. 289-309

Carlo Cavicchia and Maurizio Vichi

Robust Machine Learning for Treatment Effects in Multilevel Observational Studies Under Cluster-level Unmeasured Confounding pp. 310-343

Youmi Suk and Hyunseung Kang

On the Use of Aggregate Survey Data for Estimating Regional Major Depressive Disorder Prevalence pp. 344-368

Domingo Morales, Joscha Krause and Jan Pablo Burgard

Book Review: W. H. FINCH, J. E. Bolin and K. Kelley: Multilevel Modeling Using R pp. 369-371

Nivedita Bhaktha

Erratum to: Meta-analytic Gaussian Network Aggregation pp. 372-372

Sacha Epskamp, Adela-Maria Isvoranu and Mike W.-L. Cheung