Multivariate Behavioral Research

Papers
(The median citation count of Multivariate Behavioral Research 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Evaluating SEM Model Fit with Small Degrees of Freedom60
Bayesian Estimation for Gaussian Graphical Models: Structure Learning, Predictability, and Network Comparisons40
dynamic : An R Package for Deriving Dynamic Fit Index Cutoffs for Factor Analysis27
CLC Estimator: A Tool for Latent Construct Estimation via Congeneric Approaches in Survey Research26
Recovering Within-Person Dynamics from Psychological Time Series23
Selecting a Within- or Between-Subject Design for Mediation: Validity, Causality, and Statistical Power22
Interpreting Interaction Effects in Generalized Linear Models of Nonlinear Probabilities and Counts21
Causal Inference with Multilevel Data: A Comparison of Different Propensity Score Weighting Approaches20
Model Selection and Model Averaging for Mixed-Effects Models with Crossed Random Effects for Subjects and Items17
AI-Assisted Systematic Reviewing: Selecting Studies to Compare Bayesian Versus Frequentist SEM for Small Sample Sizes17
Small but Nontrivial: A Comparison of Six Strategies to Handle Cross-Loadings in Bifactor Predictive Models15
Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models14
Unique Variable Analysis: A Network Psychometrics Method to Detect Local Dependence13
The Curious Case of the Cross-Sectional Correlation13
A Sequential Response Model for Analyzing Process Data on Technology-Based Problem-Solving Tasks13
Bayesian Estimation of Single-Test Reliability Coefficients13
Investigating the Normativity of Trait Estimates from Multidimensional Forced-Choice Data12
Accounting for Heteroskedasticity Resulting from Between-Group Differences in Multilevel Models12
A Gentle Introduction to Bayesian Network Meta-Analysis Using an Automated R Package11
A Bayesian Latent Variable Selection Model for Nonignorable Missingness11
Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model10
Heterogeneity in Individual Network Analysis: Reality or Illusion?10
R-squared Measures for Multilevel Models with Three or More Levels9
Modeling Multidimensional Forced Choice Measures with the Zinnes and Griggs Pairwise Preference Item Response Theory Model9
On Unreplicable Inferences in Psychopathology Symptom Networks and the Importance of Unreliable Parameter Estimates8
Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model8
Configurational Causal Modeling and Logic Regression8
A Generalized Partially Confirmatory Factor Analysis Framework with Mixed Bayesian Lasso Methods8
A Mixture Response Time Process Model for Aberrant Behaviors and Item Nonresponses8
Wording Effects in Assessment: Missing the Trees for the Forest8
A Higher-Order Cognitive Diagnosis Model with Ordinal Attributes for Dichotomous Response Data8
Response Surface Analysis with Missing Data7
How to Choose between Different Bayesian Posterior Indices for Hypothesis Testing in Practice7
Large-Scale Survey Data Analysis with Penalized Regression: A Monte Carlo Simulation on Missing Categorical Predictors7
Generalizability of Dynamic Fit Index, Equivalence Testing, and Hu & Bentler Cutoffs for Evaluating Fit in Factor Analysis7
Moving beyond Likert and Traditional Forced-Choice Scales: A Comprehensive Investigation of the Graded Forced-Choice Format6
Adjusting for Measurement Noninvariance with Alignment in Growth Modeling6
Joint Hidden Markov Model for Longitudinal and Time-to-Event Data with Latent Variables6
A Realistic Evaluation of Methods for Handling Missing Data When There is a Mixture of MCAR, MAR, and MNAR Mechanisms in the Same Dataset5
Bayesian Testing of Scientific Expectations under Multivariate Normal Linear Models5
Bayesian Uncertainty Estimation for Gaussian Graphical Models and Centrality Indices5
Copula-Based Redundancy Analysis5
Evaluating Covariate Effects on ESM Measurement Model Changes with Latent Markov Factor Analysis: A Three-Step Approach5
Accommodating a Latent XM Interaction in Statistical Mediation Analysis5
Gradient Tree Boosting for Hierarchical Data4
Identifying and Estimating Causal Moderation for Treated and Targeted Subgroups4
Tuning Random Forests for Causal Inference under Cluster-Level Unmeasured Confounding4
An Investigation of Factored Regression Missing Data Methods for Multilevel Models with Cross-Level Interactions4
Extracting Nonlinear Dynamics from Psychological and Behavioral Time Series Through HAVOK Analysis4
On the Relationship between ANOVA Main Effects and Average Treatment Effects4
Sequential Gibbs Sampling Algorithm for Cognitive Diagnosis Models with Many Attributes4
Linear Ballistic Accumulator Item Response Theory Model for Multidimensional Multiple-Alternative Forced-Choice Measurement of Personality4
Modeling Changes in Response Style with Longitudinal IRTree Models4
A Bayesian Approach to Estimating Reciprocal Effects with the Bivariate STARTS Model4
A Network Study of Family Affect Systems in Daily Life4
Bayesian Approach to Multivariate Component-Based Logistic Regression: Analyzing Correlated Multivariate Ordinal Data3
betaDelta and betaSandwich: Confidence Intervals for Standardized Regression Coefficients in R3
A Generalized Diagnostic Classification Modeling Framework Integrating Differential Speediness: Advantages and Illustrations in Psychological and Educational Testing3
Modeling Multivariate Count Time Series Data with a Vector Poisson Log-Normal Additive Model: Applications to Testing Treatment Effects in Single-Case Designs3
Collinearity Issues in Autoregressive Models with Time-Varying Serially Dependent Covariates3
Using Support Vector Machines for Facet Partitioning in Multidimensional Scaling3
Bayesian Nonparametric Latent Class Analysis for Different Item Types3
Binding the Person-Specific Approach to Modern AI in the Human Screenome Project: Moving past Generalizability to Transferability3
Bayesian Modeling of Test Reliability3
Dependence Graphs Based on Association Rules to Explore Delusional Experiences3
Bayesian Mediation Analysis with Power Prior Distributions3
Avoiding Degeneracies in Ordinal Unfolding Using Kemeny-Equivalent Dissimilarities for Two-Way Two-Mode Preference Rank Data3
Pay Attention to the Ignorable Missing Data Mechanisms! An Exploration of Their Impact on the Efficiency of Regression Coefficients3
A Mixed-Effects Model in Which the Parameters of the Autocorrelated Error Structure Can Differ between Individuals3
Which is Better for Individual Participant Data Meta-Analysis of Zero-Inflated Count Outcomes, One-Step or Two-Step Analysis? A Simulation Study2
Assessing Dimensionality in Non-Positive Definite Tetrachoric Correlation Matrices: Does Matrix Smoothing Help?2
The Impact of Functional Form Complexity on Model Overfitting for Nonlinear Mixed-Effects Models2
The Importance of Time Metric Precision When Implementing Bivariate Latent Change Score Models2
Homogeneity Assumptions in the Analysis of Dynamic Processes2
Structural Parameter Standard Error Estimation Method in Diagnostic Classification Models: Estimation and Application2
Bootstrap-Based Between-Study Heterogeneity Tests in Meta-Analysis2
Using Process Data to Improve Classification Accuracy of Cognitive Diagnosis Model2
Multiple Imputation with Principal Components for Non-Normal Categorical Data2
A Multi-Rater Latent Growth Curve Model2
A Dynamic Structural Equation Approach to Modeling Wage Dynamics and Cumulative Advantage across the Lifespan2
Statistical Inference in Redundancy Analysis: A Direct Covariance Structure Modeling Approach2
Multilevel Hidden Markov Models for Behavioral Data: A Hawk-and-Dove Experiment2
Integrating Cross-Lagged Panel Models with Instrumental Variables to Extend the Temporal Generalizability of Causal Inference2
On the Common but Problematic Specification of Conflated Random Slopes in Multilevel Models2
Methodological and Statistical Practices of Using Symptom Networks to Evaluate Mental Health Interventions: A Review and Reflections2
FINDOUT: Using Either SPSS Commands or Graphical User Interface to Identify Influential Cases in Structural Equation Modeling in AMOS2
Recent Advances in (Graphical) Network Models2
A Causal Approach to Functional Mediation Analysis with Application to a Smoking Cessation Intervention1
Latent Class Analysis for Repeatedly Measured Multiple Latent Class Variables1
Multilevel Semiparametric Latent Variable Modeling in R with “galamm”1
A Comparison of the Spatial Arrangement Method and the Total-Set Pairwise Rating Method for Obtaining Similarity Data in the Conceptual Domain1
SMART Binary: New Sample Size Planning Resources for SMART Studies with Binary Outcome Measurements1
Modeling Growth in the Presence of Changing Measurement Properties between Persons and within Persons over Time: A Bayesian Regularized Second-Order Growth Curve Model1
Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels1
State Space Mixture Modeling: Finding People with Similar Patterns of Change1
Multiple imputation in data that grow over time: a comparison of three strategies1
On Fixed Marginal Distributions and Psychometric Network Models1
Quantifying Evidence for—and against—Granger Causality with Bayes Factors1
Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods1
Editorial1
Subgrouping with Chain Graphical VAR Models1
Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis1
Local Minima in Factor Rotations1
From Metaphor to Computation: Constructing the Potential Landscape for Multivariate Psychological Formal Models1
Using Selected Peers to Improve the Accuracy of Crowd Sourced Forecasts1
A Time-Varying Dynamic Partial Credit Model to Analyze Polytomous and Multivariate Time Series Data1
HAVOK Extensions for Psychological Time Series Forecasting1
Fitting Bayesian Stochastic Differential Equation Models with Mixed Effects through a Filtering Approach1
Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity1
A Latent Auto-Regressive Approach for Bayesian Structural Equation Modeling of Spatially or Socially Dependent Data1
On the Selection of Item Scores or Composite Scores for Clinical Prediction1
Environment-by-PGS Interaction in the Classical Twin Design: An Application to Childhood Anxiety and Negative Affect1
A Mixed Effect Location-Scale Model with Mixture Distributed Scale Random Effects to Analyze (Near) Identical Entries in Ecological Momentary Assessments1
A Cautionary Note about Having the Right Mixture Model but Classifying the Wrong People1
ABkPowerCalculator: An App to Compute Power for Balanced (AB) k Single Case Experimental Designs1
Finite Mixtures of Latent Trait Analyzers With Concomitant Variables for Bipartite Networks: An Analysis of COVID-19 Data1
An Iterative Scale Purification Procedure on l z for the Detection of Aberrant Responses1
Modification Indices for Diagnostic Classification Models1
Evaluating Discrete Time Methods for Subgrouping Continuous Processes1
Affect Dynamics in Context: A Hierarchical Bayesian AR Model for a Lab-Based Paradigm1
Conducting Bayesian-Classical Hybrid Power Analysis with R Package Hybridpower1
Exploratory Bi-factor Analysis with Multiple General Factors1
Cross-Lagged Panel Analysis with Ordinal Items1
Skewness and Staging: Does the Floor Effect Induce Bias in Multilevel AR(1) Models?1
Cluster Randomized Trials with a Pretest and Posttest: Equivalence of Three-, Two- and One-Level Analyses, and Sample Size Calculation1
On Subgrouping Continuous Processes in Discrete Time1
Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models1
Deep Neural Networks for Propensity Score Estimation1
Smoothed Quantiles for χ2 Type Test Statistics with Applications1
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