Applied Psychological Measurement

Papers
(The TQCC of Applied Psychological Measurement is 3. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Attenuation-Corrected Estimators of Reliability24
On the Folly of Introducing A (Time-Based UMV), While Designing for B (Time-Based CMV)22
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model14
Item Response Modeling of Clinical Instruments With Filter Questions: Disentangling Symptom Presence and Severity12
Computerized Adaptive Testing for Ipsative Tests with Multidimensional Pairwise-Comparison Items: Algorithm Development and Applications10
A Two-Step Q-Matrix Estimation Method8
Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test8
Global Information for Multidimensional Tests8
Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models7
The Lack of Robustness of a Statistic Based on the Neyman–Pearson Lemma to Violations of Its Underlying Assumptions7
Book Review: Generalized Kernel Equating with Applications in R WibergMarieGonzalezJorgevon DavierAlina A. (2025). Generalized Kernel Equating with Applications in R. Boca Raton, Florida. CRC Press, p7
An Experimental Design to Investigate Item Parameter Drift6
Item Response Theory True Score Equating for the Bifactor Model Under the Common-Item Nonequivalent Groups Design6
A Comparison of Modern and Popular Approaches to Calculating Reliability for Dichotomously Scored Items6
Cut-Score Operating Function Extensions: Penalty-Based Errors and Uncertainty in Standard Settings6
Adaptive Measurement of Change in the Context of Item Parameter Drift6
The Potential for Interpretational Confounding in Cognitive Diagnosis Models6
Linking Methods for Multidimensional Forced Choice Tests Using the Multi-Unidimensional Pairwise Preference Model5
Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study5
Characterizing Sampling Variability for Item Response Theory Scale Scores in a Fixed-Parameter Calibrated Projection Design5
Investigating the Effect of Differential Rapid Guessing on Population Invariance in Equating5
A Testlet Diagnostic Classification Model with Attribute Hierarchies5
Evaluating the Construct Validity of Instructional Manipulation Checks as Measures of Careless Responding to Surveys5
Predictive Fit Metrics for Item Response Models5
Semi-Parametric Item Response Theory With O’Sullivan Splines for Item Responses and Response Time4
Evaluation of the Linear Composite Conjecture for Unidimensional IRT Scale for Multidimensional Responses4
Targeted Double Scoring of Performance Tasks Using a Decision-Theoretic Approach4
The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes4
Detecting uniform differential item functioning for continuous response computerized adaptive testing4
maat: An R Package for Multiple Administrations Adaptive Testing4
Evaluating the Douglas-Cohen IRT Goodness of Fit Measure With BIB Sampling of Items4
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert Scales4
Multi-Battery Factor Analysis in R4
Inference of Correlations Among Testlet Effects: A Latent Variable Selection Method3
Optimal Test Design for Estimation of Mean Ability Growth3
Detecting Examinees With Item Preknowledge on Real Data3
IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface3
An Investigation Into the Impact of Test Session Disruptions for At-Home Test Administrations3
Comparing Approaches to Estimating Person Parameters for the MUPP Model3
Confidence Screening Detector: A New Method for Detecting Test Collusion3
Examining the Performance of the Trifactor Model for Multiple Raters3
Modeling Rating Order Effects Under Item Response Theory Models for Rater-Mediated Assessments3
Dual-Objective Item Selection Methods in Computerized Adaptive Test Using the Higher-Order Cognitive Diagnostic Models3
BayMDS: An R Package for Bayesian Multidimensional Scaling and Choice of Dimension3
Uncovering the Complexity of Item Position Effects in a Low-Stakes Testing Context3
Impact of Sampling Variability When Estimating the Explained Common Variance3
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