A Review of Some of the History of Factorial Invariance and Differential Item Functioning

2024-9-12

Killing Two Birds with One Stone: Accounting for Unfolding Item Response Process and Response Styles Using Unfolding Item Response Tree Models

2024-8-31

From Behavioral Genetics to Idiographic Science: Methodological Developments and Applications Inspired by the Work of Peter C. M. Molenaar

2024-8-30

Equivalence Testing Based Fit Index: Standardized Root Mean Squared Residual

2024-8-17

Multilevel Semiparametric Latent Variable Modeling in R with “galamm”

2024-8-14

Latent Reciprocal Engagement and Accuracy Variables in Social Relations Structural Equation Modeling

2024-8-7

Beyond Pearson’s Correlation: Modern Nonparametric Independence Tests for Psychological Research

2024-8-4

Path and Direction Discovery in Individual Dynamic Factor Models: A Regularized Hybrid Unified Structural Equation Modeling with Latent Variable

2024-7-26

Clustering Individuals Based on Similarity in Idiographic Factor Loading Patterns

2024-7-23

An Exact Bayesian Model for Meta-Analysis of the Standardized Mean Difference with Its Simultaneous Credible Intervals

2024-7-23

Causal Latent Class Analysis with Distal Outcomes: A Modified Three-Step Method Using Inverse Propensity Weighting

2024-7-22

Using Conditional Entropy Networks of Ordinal Measures to Examine Changes in Self-Worth Among Adolescent Students in High School

2024-7-12

Multiple Imputation with Factor Scores: A Practical Approach for Handling Simultaneous Missingness Across Items in Longitudinal Designs

2024-7-12

Integrating Intra- and Interindividual Phenomena in Psychological Theories

2024-7-11

Bayesian Analysis of Multi-Factorial Experimental Designs Using SEM

2024-7-10

Parametric g-formula for Testing Time-Varying Causal Effects: What It Is, Why It Matters, and How to Implement It in Lavaan

2024-7-4

Using Monte Carlo Simulation to Forecast the Scientific Utility of Psychological App Studies: A Tutorial

2024-7-3

Counterfactual Mediation Analysis with a Latent Class Exposure

2024-5-31

Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators

2024-5-31

Finite Mixtures of Latent Trait Analyzers With Concomitant Variables for Bipartite Networks: An Analysis of COVID-19 Data

2024-5-24

The Effects of Questionnaire Length on the Relative Impact of Response Styles in Ambulatory Assessment

2024-5-23

Linear Mixed-Effects Models for Dependent Data: Power and Accuracy in Parameter Estimation

2024-5-23

Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods

2024-5-11

Methodological and Statistical Practices of Using Symptom Networks to Evaluate Mental Health Interventions: A Review and Reflections

2024-5-11

Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity

2024-5-11

Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation Across Levels

2024-5-9

Determining Sample Size Requirements in EFA Solutions: A Simple Empirical Proposal

2024-5-8

Exploring Within-Person Variability in Qualitative Negative and Positive Emotional Granularity by Means of Latent Markov Factor Analysis

2024-4-11

Considering the ‘With Whom’: Differences Between Event- and Signal-Contingent ESM Data of Person-Specific Social Interactions

2024-4-9

A Model-Based Approach to the Disentanglement and Differential Treatment of Engaged and Disengaged Item Omissions

2024-4-9

Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis

2024-4-9

Network Inference With the Lasso

2024-4-8

A Confidence Interval for the Difference Between Standardized Regression Coefficients

2024-4-1

Assessing and Addressing Zero Inflation in Intensive Longitudinal Data

2024-3-25

2023 List of Reviewers

2024-3-3

On the Selection of Item Scores or Composite Scores for Clinical Prediction

2024-2-27

Clustering Analysis of Time Series of Affect in Dyadic Interactions

2024-2-26

Correcting Regression Coefficients for Collider Bias in Psychological Research

2024-2-23

Detecting Cohort Effects in Accelerated Longitudinal Designs Using Multilevel Models

2024-2-20

Propensity Score Weighting with Missing Data on Covariates and Clustered Data Structure

2024-2-20

Information Matrix Test for Item Response Models Using Stochastic Approximation

2024-2-19

Structured Estimation of Heterogeneous Time Series

2024-2-18

Alternative Approaches to Estimate Causal Mediated Effects in the Single-Mediator Model

2024-2-18

Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models

2024-2-15

Assessing Fit in Common Factor Models Using Empirical Moment Functions

2024-2-15

The Forgotten Trade-off between Internal Consistency and Validity

2024-2-15

Intensive Longitudinal Adaptive Assessment: Item Selection and Stopping Rules in Highly Multidimensional Computerized Adaptive Tests

2024-2-15

An Extended Taylor Russell Model for Multiple Predictors

2024-2-15

Modeling Intraindividual Variability as Predictors in Longitudinal Research

2024-2-15

Improving the Walktrap Algorithm Using <i>K</i> -Means Clustering

2024-2-15