Applied Psychological Measurement

Papers
(The median citation count of Applied Psychological Measurement is 1. 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 2020-09-01 to 2024-09-01.)
ArticleCitations
Estimating Cognitive Diagnosis Models in Small Samples: Bayes Modal Estimation and Monotonic Constraints17
Detecting Differential Item Functioning Using Multiple-Group Cognitive Diagnosis Models16
glca: An R Package for Multiple-Group Latent Class Analysis15
Factor Retention Using Machine Learning With Ordinal Data14
Investigating the Impact of Noneffortful Responses on Individual-Level Scores: Can the Effort-Moderated IRT Model Serve as a Solution?12
Improving Accuracy and Usage by Correctly Selecting: The Effects of Model Selection in Cognitive Diagnosis Computerized Adaptive Testing12
PROsetta: An R Package for Linking Patient-Reported Outcome Measures11
autoFC: An R Package for Automatic Item Pairing in Forced-Choice Test Construction10
Partial Measurement Invariance: Extending and Evaluating the Cluster Approach for Identifying Anchor Items9
Is Measurement Noninvariance a Threat to Inferences Drawn from Randomized Control Trials? Evidence From Empirical and Simulation Studies8
SPSS Syntax for Combining Results of Principal Component Analysis of Multiply Imputed Data Sets using Generalized Procrustes Analysis8
Attenuation-Corrected Estimators of Reliability7
A Signal Detection Model for Multiple-Choice Exams7
Bayesian Item Response Theory Models With Flexible Generalized Logit Links6
Graph Theory Approach to Detect Examinees Involved in Test Collusion6
The Optimal Design of Bifactor Multidimensional Computerized Adaptive Testing with Mixed-format Items5
Assessment of Differential Statement Functioning in Ipsative Tests With Multidimensional Forced-Choice Items5
Two New Models for Item Preknowledge5
bmggum: An R Package for Bayesian Estimation of the Multidimensional Generalized Graded Unfolding Model With Covariates5
Anchor Point Selection: Scale Alignment Based on an Inequality Criterion5
On the Speed Sensitivity Parameter in the Lognormal Model for Response Times and Implications for High-Stakes Measurement Practice5
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts5
Bayesian Modal Estimation for the One-Parameter Logistic Ability-Based Guessing (1PL-AG) Model4
Measurement of Ability in Adaptive Learning and Assessment Systems when Learners Use On-Demand Hints4
Item Selection With Collaborative Filtering in On-The-Fly Multistage Adaptive Testing4
The Explanatory Generalized Graded Unfolding Model: Incorporating Collateral Information to Improve the Latent Trait Estimation Accuracy4
On Guessing: An Alternative Adjusted Positive Learning Estimator and Comparing Probability Misspecification With Monte Carlo Simulations4
Comparing Person-Fit and Traditional Indices Across Careless Response Patterns in Surveys4
Answer Similarity Analysis at the Group Level4
Modeling Rapid Guessing Behaviors in Computer-Based Testlet Items3
Flexible Computerized Adaptive Tests to Detect Misconceptions and Estimate Ability Simultaneously3
IRTGUI: An R Package for Unidimensional Item Response Theory Analysis With a Graphical User Interface3
Targeted Double Scoring of Performance Tasks Using a Decision-Theoretic Approach3
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data3
A Testlet Diagnostic Classification Model with Attribute Hierarchies3
Predictive Fit Metrics for Item Response Models3
Quantifying the Distorting Effect of Rapid Guessing on Estimates of Coefficient Αlpha3
Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test3
An Iterative Parametric Bootstrap Approach to Evaluating Rater Fit3
Scale Alignment in the Between-Item Multidimensional Partial Credit Model3
How Important is the Choice of Bandwidth in Kernel Equating?3
A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing3
DIFSIB: A SIBTEST Package2
autoRasch: An R Package to Do Semi-Automated Rasch Analysis2
Heywood Cases in Unidimensional Factor Models and Item Response Models for Binary Data2
The Potential for Interpretational Confounding in Cognitive Diagnosis Models2
A New Method to Balance Measurement Accuracy and Attribute Coverage in Cognitive Diagnostic Computerized Adaptive Testing2
The Lack of Robustness of a Statistic Based on the Neyman–Pearson Lemma to Violations of Its Underlying Assumptions2
First-Order Learning Models With the GDINA: Estimation With the EM Algorithm and Applications2
Using a Generalized Logistic Regression Method to Detect Differential Item Functioning With Multiple Groups in Cognitive Diagnostic Tests2
Investigating the Effect of Differential Rapid Guessing on Population Invariance in Equating2
Examining the Performance of the Trifactor Model for Multiple Raters2
SEMsens: An R Package for Sensitivity Analysis of Structural Equation Models With the Ant Colony Optimization Algorithm2
Item-Fit Statistic Based on Posterior Probabilities of Membership in Ability Groups2
Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items2
Evaluating Equating Transformations in IRT Observed-Score and Kernel Equating Methods2
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model2
On Interim Cognitive Diagnostic Computerized Adaptive Testing in Learning Context2
BayMDS: An R Package for Bayesian Multidimensional Scaling and Choice of Dimension2
Detecting Examinees With Item Preknowledge on Real Data2
Assessing Dimensionality in Dichotomous Items When Many Subjects Have All-Zero Responses: An Example From Psychiatry and a Solution Using Mixture Models2
Evaluation of the Linear Composite Conjecture for Unidimensional IRT Scale for Multidimensional Responses2
Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design2
Flexible Item Response Models for Count Data: The Count Thresholds Model1
aberrance: An R Package for Detecting Aberrant Behavior in Test Data1
A Mixed Sequential IRT Model for Mixed-Format Items1
Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models—An in-Depth Investigation and Bias Correction1
Online Parameter Estimation for Student Evaluation of Teaching1
Diagnostic Classification Models for a Mixture of Ordered and Non-ordered Response Options in Rating Scales1
Impact of Sampling Variability When Estimating the Explained Common Variance1
Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data1
Confidence Screening Detector: A New Method for Detecting Test Collusion1
Uncovering the Complexity of Item Position Effects in a Low-Stakes Testing Context1
The Standardized S-X2 Statistic for Assessing Item Fit1
Multistage Testing in Heterogeneous Populations: Some Design and Implementation Considerations1
On the Folly of Introducing A (Time-Based UMV), While Designing for B (Time-Based CMV)1
Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests1
Asymptotic Standard Errors of Parameter Scale Transformation Coefficients in Test Equating Under the Nominal Response Model1
Does Sparseness Matter? Examining the Use of Generalizability Theory and Many-Facet Rasch Measurement in Sparse Rating Designs1
How Scoring Approaches Impact Estimates of Growth in the Presence of Survey Item Ceiling Effects1
Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning1
Item Response Theory True Score Equating for the Bifactor Model Under the Common-Item Nonequivalent Groups Design1
Empirical Priors in Polytomous Computerized Adaptive Tests: Risks and Rewards in Clinical Settings1
Global Information for Multidimensional Tests1
Computerized Adaptive Testing for Ipsative Tests with Multidimensional Pairwise-Comparison Items: Algorithm Development and Applications1
Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study1
Modeling Rating Order Effects Under Item Response Theory Models for Rater-Mediated Assessments1
A Comparison of Confirmatory Factor Analysis and Network Models for Measurement Invariance Assessment When Indicator Residuals are Correlated1
Using Item Scores and Distractors to Detect Test Speededness1
A Comparison of Modern and Popular Approaches to Calculating Reliability for Dichotomously Scored Items1
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