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 2021-04-01 to 2025-04-01.)
ArticleCitations
Item Response Modeling of Clinical Instruments With Filter Questions: Disentangling Symptom Presence and Severity24
A Signal Detection Model for Multiple-Choice Exams22
Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects17
Attenuation-Corrected Estimators of Reliability14
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data12
Evaluating the Douglas-Cohen IRT Goodness of Fit Measure With BIB Sampling of Items9
Consequences of Ignoring Guessing Effects on Measurement Invariance Analysis8
The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes8
A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing8
Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study7
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts7
Sequential Bayesian Ability Estimation Applied to Mixed-Format Item Tests6
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model6
Using a Generalized Logistic Regression Method to Detect Differential Item Functioning With Multiple Groups in Cognitive Diagnostic Tests6
Semi-Parametric Item Response Theory With O’Sullivan Splines for Item Responses and Response Time6
DIFSIB: A SIBTEST Package6
On the Folly of Introducing A (Time-Based UMV), While Designing for B (Time-Based CMV)6
Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests6
Dual-Objective Item Selection Methods in Computerized Adaptive Test Using the Higher-Order Cognitive Diagnostic Models5
Online Parameter Estimation for Student Evaluation of Teaching5
A Mixed Sequential IRT Model for Mixed-Format Items5
glca: An R Package for Multiple-Group Latent Class Analysis5
Computerized Adaptive Testing for Ipsative Tests with Multidimensional Pairwise-Comparison Items: Algorithm Development and Applications5
Enhancing Computerized Adaptive Testing with Batteries of Unidimensional Tests5
Global Information for Multidimensional Tests4
PROsetta: An R Package for Linking Patient-Reported Outcome Measures4
Multistage Testing in Heterogeneous Populations: Some Design and Implementation Considerations4
Evaluating Equating Transformations in IRT Observed-Score and Kernel Equating Methods4
The Improved EMS Algorithm for Latent Variable Selection in M3PL Model4
Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models—An in-Depth Investigation and Bias Correction4
Compound Optimal Design for Online Item Calibration Under the Two-Parameter Logistic Model4
Impact of Parameter Predictability and Joint Modeling of Response Accuracy and Response Time on Ability Estimates4
A Two-Step Q-Matrix Estimation Method4
A Likelihood Approach to Item Response Theory Equating of Multiple Forms4
Accommodating and Extending Various Models for Special Effects Within the Generalized Partially Confirmatory Factor Analysis Framework4
Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data4
Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design3
Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models3
bmggum: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model With Covariates3
Termination Criteria for Grid Multiclassification Adaptive Testing With Multidimensional Polytomous Items3
Graph Theory Approach to Detect Examinees Involved in Test Collusion3
Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test3
Few and Different: Detecting Examinees With Preknowledge Using Extended Isolation Forests3
Factor Retention Using Machine Learning With Ordinal Data3
Detecting uniform differential item functioning for continuous response computerized adaptive testing3
Modeling Within- and Between-Person Differences in the Use of the Middle Category in Likert Scales3
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, p3
The Lack of Robustness of a Statistic Based on the Neyman–Pearson Lemma to Violations of Its Underlying Assumptions3
Scale Linking for the Testlet Item Response Theory Model3
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