Psychometrika

Papers
(The H4-Index of Psychometrika is 16. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
A generalized factor rotation framework with customized regularization54
State-Dependent Missingness in Hidden Markov Models, with an Application to Drop-Out in a Clinical Trial38
Temporally Dynamic, Cohort-Varying Value-Added Models35
Item-Specific Factors in IRTree Models: When They Matter and When They Don’t35
Adventitious Error and Its Implications for Testing Relations Between Variables and for Composite Measurement Outcomes33
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis32
Rotation to Sparse Loadings Using 28
Sample Size Determination for Interval Estimation of the Prevalence of a Sensitive Attribute Under Randomized Response Models27
Polytomous Effectiveness Indicators in Complex Problem-Solving Tasks and Their Applications in Developing Measurement Model26
Designing Optimal, Data-Driven Policies from Multisite Randomized Trials25
Commentary on “Extending the Basic Local Independence Model to Polytomous Data” by Stefanutti, de Chiusole, Anselmi, and Spoto20
Commentary: Explore Conditional Dependencies in Item Response Tree Data19
Measures of Agreement with Multiple Raters: Fréchet Variances and Inference19
Measuring Agreement Using Guessing Models and Knowledge Coefficients18
Roderick J. Little and Donald B. Rubin: Statistical Analysis with Missing Data18
Identifying and Supporting Academically Low-Performing Schools in a Developing Country: An Application of a Specialized Multilevel IRT Model to PISA-D Assessment Data16
Sparse and Simple Structure Estimation via Prenet Penalization16
Examining Differential Item Functioning from a Multidimensional IRT Perspective16
Advances in CD-CAT: The General Nonparametric Item Selection Method16
Correction: Book Review of Item Response Theory by Bock and Gibbons16
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