Statistical power and optimal design for randomized controlled trials investigating mediation effects.

2024-9-12

Supplemental Material for Thinking Clearly About Time-Invariant Confounders in Cross-Lagged Panel Models: A Guide for Choosing a Statistical Model From a Causal Inference Perspective

2024-9-12

Clustering methods: To optimize or to not optimize?

2024-9-12

Investigating the effects of congruence between within-person associations: A comparison of two extensions of response surface analysis.

2024-9-12

Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).

2024-9-12

Mixture multigroup structural equation modeling: A novel method for comparing structural relations across many groups.

2024-9-12

The Bayesian reservoir model of psychological regulation.

2024-9-12

Improving inferential analyses predata and postdata.

2024-9-9

Trying to outrun causality with machine learning: Limitations of model explainability techniques for exploratory research.

2024-9-9

Data integrity in an online world: Demonstration of multimodal bot screening tools and considerations for preserving data integrity in two online social and behavioral research studies with marginalized populations.

2024-9-9

Consistency of Bayes factor estimates in Bayesian analysis of variance.

2024-9-9

Unidimensional community detection: A monte carlo simulation, grid search, and comparison.

2024-9-9

So is it better than something else? Using the results of a random-effects meta-analysis to characterize the magnitude of an effect size as a percentile.

2024-9-9

Sequential analysis of variance: Increasing efficiency of hypothesis testing.

2024-9-9

Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach

2024-9-5

Supplemental Material for A Computationally Efficient and Robust Method to Estimate Exploratory Factor Analysis Models With Correlated Residuals

2024-9-5

Supplemental Material for Trying to Outrun Causality With Machine Learning: Limitations of Model Explainability Techniques for Exploratory Research

2024-9-5

Supplemental Material for Sequential Analysis of Variance: Increasing Efficiency of Hypothesis Testing

2024-9-5

Supplemental Material for Uses of Uncertain Statistical Power: Designing Future Studies, Not Evaluating Completed Studies

2024-9-5

Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)

2024-9-5

Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.

2024-8-29

Supplemental Material for Modeling Construct Change Over Time Amidst Potential Changes in Construct Measurement: A Longitudinal Moderated Factor Analysis Approach

2024-8-8

A framework for studying environmental statistics in developmental science.

2024-7-18

Inference with cross-lagged effects—Problems in time.

2024-7-18

Coefficients of determination measured on the same scale as the outcome: Alternatives to R² that use standard deviations instead of explained variance.

2024-7-18

Supplemental Material for Inference With Cross-Lagged Effects—Problems in Time

2024-7-11

Supplemental Material for Coefficients of Determination Measured on the Same Scale as the Outcome: Alternatives to R2 That Use Standard Deviations Instead of Explained Variance

2024-7-8

Using group level factor models to resolve high dimensionality in model-based sampling.

2024-6-24

A comparison of random forest-based missing imputation methods for covariates in propensity score analysis.

2024-6-13

Supplemental Material for A Framework for Studying Environmental Statistics in Developmental Science

2024-6-6

Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis

2024-6-6

Latent growth factors as predictors of distal outcomes.

2024-6-3

Correcting bias in the meta-analysis of correlations.

2024-6-3

A primer on sampling rates of ambulatory assessments.

2024-5-30

Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.

2024-5-30

Supplemental Material for Correcting Bias in the Meta-Analysis of Correlations

2024-5-30

Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.

2024-5-23

The HDI + ROPE decision rule is logically incoherent but we can fix it.

2024-5-23

Supplemental Material for Latent Growth Factors as Predictors of Distal Outcomes

2024-5-23

Estimation of planned and unplanned missing individual scores in longitudinal designs using continuous-time state-space models.

2024-5-16

Supplemental Material for Detecting Mediation Effects With the Bayes Factor: Performance Evaluation and Tools for Sample Size Determination

2024-5-13

Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models

2024-5-13

A deep learning method for comparing Bayesian hierarchical models.

2024-5-6

Are factor scores measurement invariant?

2024-5-6

Supplemental Material for Are Factor Scores Measurement Invariant?

2024-5-2

Supplemental Material for A Deep Learning Method for Comparing Bayesian Hierarchical Models

2024-5-2

Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects

2024-5-2

Causal relationships in longitudinal observational data: An integrative modeling approach.

2024-4-22

The plausibility of alternative data-generating mechanisms: Comment on and attempt at replication of Dishop (2022).

2024-4-22

Combinational regularity analysis (CORA): An introduction for psychologists.

2024-4-22