Multivariate Behavioral Research

Papers
(The TQCC of Multivariate Behavioral Research is 4. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
A Systematic Evaluation of Wording Effects Modeling Under the Exploratory Structural Equation Modeling Framework113
Killing Two Birds with One Stone: Accounting for Unfolding Item Response Process and Response Styles Using Unfolding Item Response Tree Models77
Estimating Latent State-Trait Models for Experience-Sampling Data in R with the lsttheory Package: A Tutorial52
State Space Mixture Modeling: Finding People with Similar Patterns of Change51
On the Selection of Item Scores or Composite Scores for Clinical Prediction40
Unique Contributions of Dynamic Affect Indicators – Beyond Static Variability40
Cluster Randomized Trials with a Pretest and Posttest: Equivalence of Three-, Two- and One-Level Analyses, and Sample Size Calculation36
Toward a Psychology of Individuals: The Ergodicity Information Index and a Bottom-up Approach for Finding Generalizations35
Improving the Evaluation of Construct Change Over Time: Advantages of Longitudinal Moderated Nonlinear Factor Analysis Over Conventional First-Order Growth Models33
Nodewise Parameter Aggregation for Psychometric Networks31
Accounting for Measurement Invariance Violations in Careless Responding Detection in Intensive Longitudinal Data: Exploratory vs. Partially Constrained Latent Markov Factor Analysis26
Local Minima in Multidimensional Item Response Theory Models25
Simulation-Based Performance Evaluation of Missing Data Handling in Network Analysis21
Reorienting Latent Variable Modeling for Supervised Learning21
Exploring Estimation Procedures for Reducing Dimensionality in Psychological Network Modeling19
An Exact Bayesian Model for Meta-Analysis of the Standardized Mean Difference with Its Simultaneous Credible Intervals14
The Forgotten Trade-off between Internal Consistency and Validity14
Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence13
From Metaphor to Computation: Constructing the Potential Landscape for Multivariate Psychological Formal Models13
Parceling Ordinal Items in Latent Interaction Modeling13
Ideal Point or Dominance Process? Unfolding Tree Approaches to Likert Scale Data with Multi-Process Models12
Correcting Regression Coefficients for Collider Bias in Psychological Research12
ABkPowerCalculator: An App to Compute Power for Balanced (AB) k Single Case Experimental Designs12
To Disaggregate or Not to Disaggregate: A Focus on Covariates in Multilevel Models11
Finite Mixtures of Latent Trait Analyzers With Concomitant Variables for Bipartite Networks: An Analysis of COVID-19 Data11
Empirical Bayes Priors for MCMC Estimation of the Multivariate Social Relations Model11
Approaches to Item-Level Data with Cross-Classified Structure: An Illustration with Student Evaluation of Teaching10
Pay Attention to the Ignorable Missing Data Mechanisms! An Exploration of Their Impact on the Efficiency of Regression Coefficients10
Heterogeneity in Individual Network Analysis: Reality or Illusion?10
Correcting for Differences in Measurement Unreliability in Meta-Analysis of Variances10
Examining the Feasibility of Weighting Opt-In Surveys to Accommodate the Effects of Nonresponse9
Causal Inference with Unobserved Confounding: Leveraging Negative Control Outcomes Using Lavaan9
Modeling Disengaged Survey Responding with Response Times as Predictors9
Alternative Approaches to Estimate Causal Mediated Effects in the Single-Mediator Model9
State Space Models with Moderated Effects of Text Data9
A Mixed-Effects Model in Which the Parameters of the Autocorrelated Error Structure Can Differ between Individuals9
Incorporating Qualitative Distinctions in Within-Person Effect Analyses8
A State Space Model of Daily Dynamics with Moderation Effects from Qualitative Text Data8
On Subgrouping Continuous Processes in Discrete Time8
A Causal View on Bias in Missing Data Imputation: The Impact of Evil Auxiliary Variables on Norming of Test Scores8
Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators8
Structured Estimation of Heterogeneous Time Series8
An Analytical Comparison of Three Modeling Approaches for Longitudinal Mediation Analysis8
Beyond Linear Risk: A Machine Learning Approach to Understanding Perinatal Depression in Context7
Modeling Intraindividual Variability as Predictors in Longitudinal Research7
The Curious Case of the Cross-Sectional Correlation7
A Generalized Bootstrap Procedure of the Standard Error and Confidence Interval Estimation for Inverse Probability of Treatment Weighting7
Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels6
Calculating and Interpreting Maximal Reliability in Bifactor Models6
Problems of Domain Factors with Small Factor Loadings in Bi-Factor Models6
Idiographic Ising and Divide and Color Models: Encompassing Networks for Heterogeneous Binary Data6
Gradient Tree Boosting for Hierarchical Data6
Contributions to Constructing Forced-Choice Questionnaires Using the Thurstonian IRT Model6
How to Get MAD: Generating Uniformly Sampled Correlation Matrices with a Fixed Mean Absolute Discrepancy5
Using Mixture Factor Analysis to Counter Faking5
MIIVefa: An R Package for a New Type of Exploratory Factor Anaylysis Using Model-Implied Instrumental Variables5
Parametric g-formula for Testing Time-Varying Causal Effects: What It Is, Why It Matters, and How to Implement It in Lavaan5
Bayesian Variable Selection via Shrinkage Priors in Growth Mixture Models5
betaDelta and betaSandwich: Confidence Intervals for Standardized Regression Coefficients in R5
Methods for Constructing Normalised Reference Scores: An Application for Assessing Child Development at 24 Months of Age5
A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data5
An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions5
Affect Dynamics in Context: A Hierarchical Bayesian AR Model for a Lab-Based Paradigm5
On the Ratio Between Point-Polyserial and Polyserial Correlations for Non-Normal Bivariate Distributions5
Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School4
Novel Full-Bayesian and Hybrid-Bayesian Approaches for Modeling Intraindividual Variability4
Targeted Maximum Likelihood Estimation for Causal Inference With Observational Data—The Example of Private Tutoring4
Mixed-Effects Frequency-Adjusted Borders Ordinal Forest: A Tree Ensemble Method for Ordinal Prediction with Hierarchical Data4
Random Forest Analyses of Precollege Covariates4
Estimated Factor Scores Are Not True Factor Scores4
Improving the Walktrap Algorithm Using K -Means Clustering4
Mapping the Garden of Forking Paths in Multilevel Models4
Beyond Pearson’s Correlation: Modern Nonparametric Independence Tests for Psychological Research4
Regularized Cross-Sectional Network Modeling with Missing Data: A Comparison of Methods4
2022 List of Reviewers4
Individual Variability as a Moderator of Latent Structural Relations4
Treatment Effect Moderation with Small Subgroups: An Incremental Subgroup Analysis Approach4
Correcting for Sampling Error in between-Cluster Effects: An Empirical Bayes Cluster-Mean Approach with Finite Population Corrections4
From Behavioral Genetics to Idiographic Science: Methodological Developments and Applications Inspired by the Work of Peter C. M. Molenaar4
Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal Designs4
Subgrouping with Chain Graphical VAR Models4
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