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 2020-05-01 to 2024-05-01.)
ArticleCitations
Evaluating SEM Model Fit with Small Degrees of Freedom48
Bayesian Estimation for Gaussian Graphical Models: Structure Learning, Predictability, and Network Comparisons32
Entropy Fit Indices: New Fit Measures for Assessing the Structure and Dimensionality of Multiple Latent Variables25
dynamic : An R Package for Deriving Dynamic Fit Index Cutoffs for Factor Analysis19
Recovering Within-Person Dynamics from Psychological Time Series18
Sampling Variability Is Not Nonreplication: A Bayesian Reanalysis of Forbes, Wright, Markon, and Krueger17
CLC Estimator: A Tool for Latent Construct Estimation via Congeneric Approaches in Survey Research17
Interpreting Interaction Effects in Generalized Linear Models of Nonlinear Probabilities and Counts16
Causal Inference with Multilevel Data: A Comparison of Different Propensity Score Weighting Approaches16
Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items15
Psychometric and Machine Learning Approaches to Reduce the Length of Scales14
Small but Nontrivial: A Comparison of Six Strategies to Handle Cross-Loadings in Bifactor Predictive Models14
A Person- and Time-Varying Vector Autoregressive Model to Capture Interactive Infant-Mother Head Movement Dynamics13
Selecting a Within- or Between-Subject Design for Mediation: Validity, Causality, and Statistical Power13
Bayesian Estimation of Single-Test Reliability Coefficients12
AI-Assisted Systematic Reviewing: Selecting Studies to Compare Bayesian Versus Frequentist SEM for Small Sample Sizes12
Investigating the Normativity of Trait Estimates from Multidimensional Forced-Choice Data12
A Sequential Response Model for Analyzing Process Data on Technology-Based Problem-Solving Tasks11
Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models10
On Omega Hierarchical Estimation: A Comparison of Exploratory Bi-Factor Analysis Algorithms9
The Curious Case of the Cross-Sectional Correlation8
A Bayesian Latent Variable Selection Model for Nonignorable Missingness8
Accounting for Heteroskedasticity Resulting from Between-Group Differences in Multilevel Models8
Wording Effects in Assessment: Missing the Trees for the Forest8
Random Forests Approach for Causal Inference with Clustered Observational Data8
A Mixture Response Time Process Model for Aberrant Behaviors and Item Nonresponses8
Do Response Styles Affect Estimates of Growth on Social-Emotional Constructs? Evidence from Four Years of Longitudinal Survey Scores8
Modeling Multidimensional Forced Choice Measures with the Zinnes and Griggs Pairwise Preference Item Response Theory Model8
A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data8
Factorial Invariance and Orthogonal Rotation8
Changing the Scale: The Effect of Modifying Response Scale Labels on the Measurement of Personality and Affect7
Bayesian Model Averaging as an Alternative to Model Selection for Multilevel Models7
On Unreplicable Inferences in Psychopathology Symptom Networks and the Importance of Unreliable Parameter Estimates7
Configurational Causal Modeling and Logic Regression6
Multilevel Meta-Analysis of Individual Participant Data of Single-Case Experimental Designs: One-Stage versus Two-Stage Methods6
Generalizability of Dynamic Fit Index, Equivalence Testing, and Hu & Bentler Cutoffs for Evaluating Fit in Factor Analysis6
Large-Scale Survey Data Analysis with Penalized Regression: A Monte Carlo Simulation on Missing Categorical Predictors6
Heterogeneity in Individual Network Analysis: Reality or Illusion?6
Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence6
Penalized Least Squares for Structural Equation Modeling with Ordinal Responses6
Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model6
A Comprehensive Review and Comparison of CUSUM and Change-Point-Analysis Methods to Detect Test Speededness6
Latent Class Mediation: A Comparison of Six Approaches5
Reducing Incidence of Nonpositive Definite Covariance Matrices in Mixed Effect Models5
Adjusting for Measurement Noninvariance with Alignment in Growth Modeling5
Bayesian Inference for IRT Models with Non-Normal Latent Trait Distributions5
Copula-Based Redundancy Analysis5
Bayesian Estimation and Testing of a Beta Factor Model for Bounded Continuous Variables5
R-squared Measures for Multilevel Models with Three or More Levels5
How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice5
Clustering Individuals on Limited Features of a Vector Autoregressive Model5
Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach5
Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model5
A Generalized Partially Confirmatory Factor Analysis Framework with Mixed Bayesian Lasso Methods5
Repeated Measures ANOVA with Latent Variables to Analyze Interindividual Differences in Contrasts5
Dynamic Mixture Modeling with dynr5
The Impact of Item Feature and Response Preference in a Mixed-Format Design4
Addressing Quantitative and Qualitative Hypotheses Using Regression Models with Equality Restrictions and Predictors Measured in Common Units4
Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes4
Joint Hidden Markov Model for Longitudinal and Time-to-Event Data with Latent Variables4
Metric Stability in Item Response Models4
Response Surface Analysis with Missing Data4
Linear Ballistic Accumulator Item Response Theory Model for Multidimensional Multiple-Alternative Forced-Choice Measurement of Personality4
A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package4
Modeling Changes in Response Style with Longitudinal IRTree Models4
Tuning Random Forests for Causal Inference under Cluster-Level Unmeasured Confounding4
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