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.
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Volume 85, issue 4, 2020
- Joint Bayesian Estimation of Voxel Activation and Inter-regional Connectivity in fMRI Experiments pp. 845-869

- Daniel Spencer, Rajarshi Guhaniyogi and Raquel Prado
- Maximum likelihood estimation of a social relations structural equation model pp. 870-889

- Steffen Nestler, Oliver Lüdtke and Alexander Robitzsch
- Using Multiple Imputation with GEE with Non-monotone Missing Longitudinal Binary Outcomes pp. 890-904

- Stuart R. Lipsitz, Garrett M. Fitzmaurice and Roger D. Weiss
- Goodman and Kruskal’s Gamma Coefficient for Ordinalized Bivariate Normal Distributions pp. 905-925

- Alessandro Barbiero and Asmerilda Hitaj
- Network Trees: A Method for Recursively Partitioning Covariance Structures pp. 926-945

- Payton J. Jones, Patrick Mair, Thorsten Simon and Achim Zeileis
- Erratum to: A Robust Effect Size Index pp. 946-946

- Simon Vandekar, Ran Tao and Jeffrey Blume
- Global Least Squares Path Modeling: A Full-Information Alternative to Partial Least Squares Path Modeling pp. 947-972

- Heungsun Hwang and Gyeongcheol Cho
- Variational Bayes Inference Algorithm for the Saturated Diagnostic Classification Model pp. 973-995

- Kazuhiro Yamaguchi and Kensuke Okada
- A Note on Likelihood Ratio Tests for Models with Latent Variables pp. 996-1012

- Yunxiao Chen, Irini Moustaki and Haoran Zhang
- A Note on the Usefulness of Constrained Fourth-Order Latent Differential Equation Models in the Case of Small T pp. 1016-1027

- Katinka Hardt, Steven M. Boker and Cindy S. Bergeman
- Partial Identification of Latent Correlations with Binary Data pp. 1028-1051

- Steffen Grønneberg, Jonas Moss and Njål Foldnes
- A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data pp. 1052-1075

- Yunxiao Chen
Volume 85, issue 3, 2020
- Traditional and Rank-Based Tests for Ordered Alternatives in a Cluster Correlated Model pp. 531-554

- Yuanyuan Shao, Joseph W. McKean and Bradley E. Huitema
- Factor Uniqueness of the Structural Parafac Model pp. 555-574

- Paolo Giordani, Roberto Rocci and Giuseppe Bove
- A Restricted Four-Parameter IRT Model: The Dyad Four-Parameter Normal Ogive (Dyad-4PNO) Model pp. 575-599

- Justin L. Kern and Steven Andrew Culpepper
- Using Response Times and Response Accuracy to Measure Fluency Within Cognitive Diagnosis Models pp. 600-629

- Shiyu Wang and Yinghan Chen
- Exponential-Family Random Graph Models for Multi-Layer Networks pp. 630-659

- Pavel N. Krivitsky, Laura M. Koehly and Christopher Steven Marcum
- An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations pp. 660-683

- Zachary F. Fisher and Kenneth A. Bollen
- Extending the Basic Local Independence Model to Polytomous Data pp. 684-715

- Luca Stefanutti, Debora Chiusole, Pasquale Anselmi and Andrea Spoto
- Flexible Utility Function Approximation via Cubic Bezier Splines pp. 716-737

- Sangil Lee, Chris M. Glaze, Eric T. Bradlow and Joseph W. Kable
- A Partially Confirmatory Approach to the Multidimensional Item Response Theory with the Bayesian Lasso pp. 738-774

- Jinsong Chen
- Latent Theme Dictionary Model for Finding Co-occurrent Patterns in Process Data pp. 775-811

- Guanhua Fang and Zhiliang Ying
- Review of Nonlinear Time Series Analysis (Tsay Chen, 2018) Tsay, R.S., & Chen, R. (2018). Nonlinear Time Series Analysis. Wiley. 512 pages. EUR€119,70. ISBN: 978-1-119-26407-1 pp. 812-814

- Ascher K. Munion and Jonathan E. Butner
- A Dyadic IRT Model pp. 815-836

- Brian Gin, Nicholas Sim, Anders Skrondal and Sophia Rabe-Hesketh
- A Review of “A Course in Item Response Theory and Modeling with Stata” by Raykov and Marcoulides pp. 837-840

- Dandan Chen and Jinming Zhang
- Structural Equation Models: From Paths to Networks (Westland 2019) pp. 841-844

- Marko Sarstedt and Christian M. Ringle
Volume 85, issue 2, 2020
- A Latent Space Network Model for Social Influence pp. 251-274

- Tracy Sweet and Samrachana Adhikari
- Maximum Likelihood Estimation of Multilevel Structural Equation Models with Random Slopes for Latent Covariates pp. 275-300

- Nicholas J. Rockwood
- A Shadow-Test Approach to Adaptive Item Calibration pp. 301-321

- Wim J. van der Linden and Bingnan Jiang
- A Constrained Metropolis–Hastings Robbins–Monro Algorithm for Q Matrix Estimation in DINA Models pp. 322-357

- Chen-Wei Liu, Björn Andersson and Anders Skrondal
- A Note on Exploratory Item Factor Analysis by Singular Value Decomposition pp. 358-372

- Haoran Zhang, Yunxiao Chen and Xiaoou Li
- Review of Gana & Broc’s Structural Equation Modeling with lavaan pp. 373-377

- Terrence D. Jorgensen and Suzanne Jak
- Latent Feature Extraction for Process Data via Multidimensional Scaling pp. 378-397

- Xueying Tang, Zhi Wang, Qiwei He, Jingchen Liu and Zhiliang Ying
- Trivariate Theory of Mind Data Analysis with a Conditional Joint Modeling Approach pp. 398-436

- Minjeong Jeon, Paul Boeck, Xiangrui Li and Zhong-Lin Lu
- Patrick Mair: Modern Psychometrics with R pp. 437-438

- Joost Kruis and Denny Borsboom
- A Riemannian Optimization Algorithm for Joint Maximum Likelihood Estimation of High-Dimensional Exploratory Item Factor Analysis pp. 439-468

- Yang Liu
- Students’ Complex Problem Solving Profiles pp. 469-501

- Michela Gnaldi, Silvia Bacci, Thiemo Kunze and Samuel Greiff
- Power Divergence Family of Statistics for Person Parameters in IRT Models pp. 502-525

- Xiang Liu, James Yang, Hui Soo Chae and Gary Natriello
- Book ReviewStructural Equation Modeling: Applications using Mplus (Wang and Wang 2020) pp. 526-530

- Yi Feng and Jeffrey R. Harring
Volume 85, issue 1, 2020
- Editorial, Spring 2020 pp. 1-4

- Matthias von Davier and Edward Ip
- Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models pp. 8-34

- Teague R. Henry, Kathleen M. Gates, Mitchell J. Prinstein and Douglas Steinley
- Optimal Online Calibration Designs for Item Replenishment in Adaptive Testing pp. 35-55

- Yinhong He and Ping Chen
- A Social Desirability Item Response Theory Model: Retrieve–Deceive–Transfer pp. 56-74

- Cheng-Han Leng, Hung-Yu Huang and Grace Yao
- Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment pp. 75-100

- Junhao Pan, Edward Haksing Ip and Laurette Dubé
- Power Analysis and Sample Size Planning in ANCOVA Designs pp. 101-120

- Gwowen Shieh
- A Sparse Latent Class Model for Cognitive Diagnosis pp. 121-153

- Yinyin Chen, Steven Culpepper and Feng Liang
- Modeling Intensive Polytomous Time-Series Eye-Tracking Data: A Dynamic Tree-Based Item Response Model pp. 154-184

- Sun-Joo Cho, Sarah Brown-Schmidt, Paul De Boeck and Jianhong Shen
- Standardized Regression Coefficients and Newly Proposed Estimators for $${R}^{{2}}$$R2 in Multiply Imputed Data pp. 185-205

- Joost R. Ginkel
- Psychometric network models from time-series and panel data pp. 206-231

- Sacha Epskamp
- A Robust Effect Size Index pp. 232-246

- Simon Vandekar, Ran Tao and Jeffrey Blume
- Review of Advances in Latent Class Analysis pp. 247-250

- Yoon Soo Park and Qiao Lin
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