Psychometrika
1936 - 2024
Current editor(s): Irini Moustaki From: Springer The Psychometric Society Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing (). Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.
Volume 89, issue 4, 2024
- Remarks from the Editor-in-Chief pp. 1117-1118

- Sandip Sinharay
- Optimizing Large-Scale Educational Assessment with a “Divide-and-Conquer” Strategy: Fast and Efficient Distributed Bayesian Inference in IRT Models pp. 1119-1147

- Sainan Xu, Jing Lu, Jiwei Zhang, Chun Wang and Gongjun Xu
- Practical Implications of Sum Scores Being Psychometrics’ Greatest Accomplishment pp. 1148-1169

- Daniel McNeish
- Are Sum Scores a Great Accomplishment of Psychometrics or Intuitive Test Theory? pp. 1170-1174

- Robert J. Mislevy
- Rejoinder to McNeish and Mislevy: What Does Psychological Measurement Require? pp. 1175-1185

- Klaas Sijtsma, Jules L. Ellis and Denny Borsboom
- A Note on Ising Network Analysis with Missing Data pp. 1186-1202

- Siliang Zhang and Yunxiao Chen
- Ordinal Outcome State-Space Models for Intensive Longitudinal Data pp. 1203-1229

- Teague R. Henry, Lindley R. Slipetz, Ami Falk, Jiaxing Qiu and Meng Chen
- Asymptotically Correct Person Fit z-Statistics For the Rasch Testlet Model pp. 1230-1260

- Zhongtian Lin, Tao Jiang, Frank Rijmen and Paul Wamelen
- Modeling Evasive Response Bias in Randomized Response: Cheater Detection Versus Self-protective No-Saying pp. 1261-1279

- Khadiga H. A. Sayed, Maarten J. L. F. Cruyff and Peter G. M. Heijden
- Reliability Theory for Measurements with Variable Test Length, Illustrated with ERN and Pe Collected in the Flanker Task pp. 1280-1303

- Jules L. Ellis, Klaas Sijtsma, Kristel Groot and Patrick J. F. Groenen
- New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Beyond Categorical Data pp. 1304-1336

- Seunghyun Lee and Yuqi Gu
- Bayesian Adaptive Lasso for Detecting Item–Trait Relationship and Differential Item Functioning in Multidimensional Item Response Theory Models pp. 1337-1365

- Na Shan and Ping-Feng Xu
- Correction to: Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes pp. 1366-1366

- Gyeongcheol Cho and Heungsun Hwang
Volume 89, issue 3, 2024
- Remarks from the Editor-in-Chief pp. 745-746

- Sandip Sinharay
- A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment pp. 747-773

- Chun Wang
- Proof of Reliability Convergence to 1 at Rate of Spearman–Brown Formula for Random Test Forms and Irrespective of Item Pool Dimensionality pp. 774-795

- Jules L. Ellis and Klaas Sijtsma
- Differential Item Functioning via Robust Scaling pp. 796-821

- Peter F. Halpin
- Non-parametric Regression Among Factor Scores: Motivation and Diagnostics for Nonlinear Structural Equation Models pp. 822-850

- Steffen Grønneberg and Julien Patrick Irmer
- Diagnostic Classification Models for Testlets: Methods and Theory pp. 851-876

- Xin Xu, Guanhua Fang, Jinxin Guo, Zhiliang Ying and Susu Zhang
- Polytomous Effectiveness Indicators in Complex Problem-Solving Tasks and Their Applications in Developing Measurement Model pp. 877-902

- Pujue Wang and Hongyun Liu
- Parallel Optimal Calibration of Mixed-Format Items for Achievement Tests pp. 903-928

- Frank Miller and Ellinor Fackle-Fornius
- Variational Estimation for Multidimensional Generalized Partial Credit Model pp. 929-957

- Chengyu Cui, Chun Wang and Gongjun Xu
- Extended Asymptotic Identifiability of Nonparametric Item Response Models pp. 958-973

- Yinqiu He
- Signal-to-Noise Ratio in Estimating and Testing the Mediation Effect: Structural Equation Modeling versus Path Analysis with Weighted Composites pp. 974-1006

- Ke-Hai Yuan, Zhiyong Zhang and Lijuan Wang
- The Crosswise Model for Surveys on Sensitive Topics: A General Framework for Item Selection and Statistical Analysis pp. 1007-1033

- Marco Gregori, Martijn G. Jong and Rik Pieters
- The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items pp. 1034-1054

- Benjamin W. Domingue, Klint Kanopka, Radhika Kapoor, Steffi Pohl, R. Philip Chalmers, Charles Rahal and Mijke Rhemtulla
- Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes pp. 1055-1073

- Paul Boeck, Michael L. DeKay and Jolynn Pek
- Temporally Dynamic, Cohort-Varying Value-Added Models pp. 1074-1103

- Garritt L. Page, Ernesto San Martín, David Torres Irribarra and Sébastien Van Bellegem
- Book Review: Subscores: A Practical Guide to Their Production and Consumption by Shelby Haberman, Sandip Sinharay, Richard A. Feinberg, & Howard Wainer pp. 1104-1106

- Michael C. Edwards
- Erratum: A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models pp. 1107-1107

- Chen-Wei Liu, Björn Andersson and Anders Skrondal
- Correction: A Diagnostic Facet Status Model (DFSM) for Extracting Instructionally Useful Information from Diagnostic Assessment pp. 1108-1108

- Chun Wang
- Correction: Book Review of Mixture and Hidden Markov Models with R, by Visser & Speekenbrink pp. 1109-1109

- Francesco Bartolucci and Fulvia Pennoni
- Correction: Book Review of Item Response Theory by Bock and Gibbons pp. 1110-1110

- Ji Seung Yang, Yang Liu and Sungyeun Kim
- Correction: Book Review of Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective by Geiser pp. 1111-1111

- Ihnwhi Heo, Fan Jia and Sarah Depaoli
- Correction: Book Review of Essays on Contemporary Psychometrics by Van der Ark, Emons & Meijer pp. 1112-1112

- Youn Seon Lim
- Correction: Book Review of Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables by J. Henseler pp. 1113-1113

- Laura Trinchera
- Correction: Book Review of Psychometric Methods: Theory into Practice by Price pp. 1114-1114

- Manqian Liao and Hong Jiao
- Correction: Book Review of Innovative Assessment of Collaboration by Davier, Shu & Kyllonen pp. 1115-1115

- Tyler H. Matta
- Correction: Book Review of Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models by Faraway pp. 1116-1116

- Andreas Rosenblad
Volume 89, issue 2, 2024
- Remarks From the Editor-in-Chief pp. 385-385

- Sandip Sinharay
- What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data pp. 386-410

- Yang Liu and Weimeng Wang
- Exploratory Procedure for Component-Based Structural Equation Modeling for Simple Structure by Simultaneous Rotation pp. 411-438

- Naoto Yamashita
- Using External Information for More Precise Inferences in General Regression Models pp. 439-460

- Martin Jann and Martin Spiess
- Bayesian Semiparametric Longitudinal Inverse-Probit Mixed Models for Category Learning pp. 461-485

- Minerva Mukhopadhyay, Jacie R. McHaney, Bharath Chandrasekaran and Abhra Sarkar
- On the Identifiability of 3- and 4-Parameter Item Response Theory Models From the Perspective of Knowledge Space Theory pp. 486-516

- Stefano Noventa, Sangbeak Ye, Augustin Kelava and Andrea Spoto
- Measures of Agreement with Multiple Raters: Fréchet Variances and Inference pp. 517-541

- Jonas Moss
- Post-selection Inference in Multiverse Analysis (PIMA): An Inferential Framework Based on the Sign Flipping Score Test pp. 542-568

- Paolo Girardi, Anna Vesely, Daniël Lakens, Gianmarco Altoè, Massimiliano Pastore, Antonio Calcagnì and Livio Finos
- Efficient Corrections for Standardized Person-Fit Statistics pp. 569-591

- Kylie Gorney, Sandip Sinharay and Carol Eckerly
- Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation pp. 592-625

- Ying Liu and Steven Andrew Culpepper
- A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses pp. 626-657

- Ling Chen and Yuqi Gu
- Learning Bayesian Networks: A Copula Approach for Mixed-Type Data pp. 658-686

- Federico Castelletti
- A Model Implied Instrumental Variable Approach to Exploratory Factor Analysis (MIIV-EFA) pp. 687-716

- Kenneth A. Bollen, Kathleen M. Gates and Lan Luo
- Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses pp. 717-740

- Mengqi Lin and Gongjun Xu
- Book Review of Mixture and Hidden Markov Models with R by Visser & Speekenbrink pp. 741-743

- Francesco Bartolucci and Fulvia Pennoni
Volume 89, issue 1, 2024
- Remarks from the New Editor-in-Chief pp. 1-3

- Sandip Sinharay
- Examining Differential Item Functioning from a Multidimensional IRT Perspective pp. 4-41

- Terry A. Ackerman and Ye Ma
- Reducing Attenuation Bias in Regression Analyses Involving Rating Scale Data via Psychometric Modeling pp. 42-63

- Cees A. W. Glas, Terrence D. Jorgensen and Debby ten Hove
- Sociocognitive and Argumentation Perspectives on Psychometric Modeling in Educational Assessment pp. 64-83

- Robert J. Mislevy
- Recognize the Value of the Sum Score, Psychometrics’ Greatest Accomplishment pp. 84-117

- Klaas Sijtsma, Jules L. Ellis and Denny Borsboom
- Going Deep in Diagnostic Modeling: Deep Cognitive Diagnostic Models (DeepCDMs) pp. 118-150

- Yuqi Gu
- Nodal Heterogeneity can Induce Ghost Triadic Effects in Relational Event Models pp. 151-171

- Rūta Juozaitienė and Ernst C. Wit
- A Note on Improving Variational Estimation for Multidimensional Item Response Theory pp. 172-204

- Chenchen Ma, Jing Ouyang, Chun Wang and Gongjun Xu
- A Latent Hidden Markov Model for Process Data pp. 205-240

- Xueying Tang
- Generalized Structured Component Analysis Accommodating Convex Components: A Knowledge-Based Multivariate Method with Interpretable Composite Indexes pp. 241-266

- Gyeongcheol Cho and Heungsun Hwang
- DIF Analysis with Unknown Groups and Anchor Items pp. 267-295

- Gabriel Wallin, Yunxiao Chen and Irini Moustaki
- A Multidimensional Model to Facilitate Within Person Comparison of Attributes pp. 296-316

- Mark L. Davison, Seungwon Chung, Nidhi Kohli and Ernest C. Davenport
- Adjusted Residuals for Evaluating Conditional Independence in IRT Models for Multistage Adaptive Testing pp. 317-346

- Peter W. Rijn, Usama S. Ali, Hyo Jeong Shin and Sean-Hwane Joo
- Regularized Variational Estimation for Exploratory Item Factor Analysis pp. 347-375

- April E. Cho, Jiaying Xiao, Chun Wang and Gongjun Xu
- Book Review Computational Aspects of Psychometric Methods by Martinková & Hladká pp. 376-380

- Zhiqing Lin and Huilin Chen
| |