Psychological Methods

Article	Citations
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	665
Multivariate analysis of covariance for heterogeneous and incomplete data.	369
Relative importance analysis in multiple mediator models.	254
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	217
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models	179
Supplemental Material for Subgroup Discovery in Structural Equation Models	151
Subgroup discovery in structural equation models.	134
A simple recommendation for the analysis of matching data.	125
Correcting for collider effects and sample selection bias in psychological research.	113
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.	94
Regression discontinuity designs in a latent variable framework.	93
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	79
The accuracy of reliability coefficients: A reanalysis of existing simulations.	74
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect	61
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	61
Bayesian regularization in multiple-indicators multiple-causes models.	61
Dynamic measurement invariance cutoffs for two-group fit index differences.	59
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	58
Estimating time-varying treatment effects in longitudinal studies.	57
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	55
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	55
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	52
Supplemental Material for Are Factor Scores Measurement Invariant?	51
Effect size guidelines for cross-lagged effects.	51
Supplemental Material for The Influence of Autoregressive Relation Strength and Search Strategy on Directionality Recovery in Group Iterative Multiple Model Estimation	51

Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates	44
Supplemental Material for Assessing an Alternative for “Negative Variance Components”: A Gentle Introduction to Bayesian Covariance Structure Modeling for Negative Associations Among Patients With Per	43
Supplemental Material for Improved Confidence Intervals for Differences Between Standardized Effect Sizes	38
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models	38
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.	37
Latent growth factors as predictors of distal outcomes.	37
Improved confidence intervals for differences between standardized effect sizes.	36
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	35
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	35
Causal inference for treatment effects in partially nested designs.	33
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.	33
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	32
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	30
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	29
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	29
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	28
Practical challenges and methodological flexibility in prior elicitation.	27
Reporting standards for psychological network analyses in cross-sectional data.	27
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.	26
Network science in psychology.	26
Causal definitions versus casual estimation: Reply to Valente et al. (2022).	25
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.	25
Who is and is not “average”? Random effects selection with spike-and-slab priors.	25
The Bayesian reservoir model of psychological regulation.	25
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	24
Reassessing the fitting propensity of factor models.	24
Supplemental Material for New Computations for RMSEA and CFI Following FIML and TS Estimation With Missing Data	24
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	23
Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines.	23
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	23
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	23
Using natural language processing and machine learning to replace human content coders.	22
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.	22
Statistical power and optimal design for randomized controlled trials investigating mediation effects.	22
Supplemental Material for Iterated Community Detection in Psychological Networks	21
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation	21
Supplemental Material for Model-Based Incremental Validity	21
Supplemental Material for Workflow Techniques for the Robust Use of Bayes Factors	21
Continuous-time structural equation model forests.	20
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	20
What are the mathematical bounds for coefficient α?	20
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	19
Mixture multilevel vector-autoregressive modeling.	19
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	19
Causal relationships in longitudinal observational data: An integrative modeling approach.	18
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	18
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	18
Supplemental Material for Comparing Network Structures on Three Aspects: A Permutation Test	18
Evaluating avoidable heterogeneity in exploratory factor analysis results.	18
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores	17

Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach	17
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes	17
Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations	17
Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling	17
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.	16
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error	16
A factored regression approach to modeling latent variable interactions and nonlinear effects.	15
Interpretable machine learning for psychological research: Opportunities and pitfalls.	15
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.	15
Supplemental Material for Comparison of Latent Growth Curves: A Parameter Constancy Test	15
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox	15
Estimating causal effects on psychological networks using item response theory.	15
Are factor scores measurement invariant?	15
Power analysis to detect misfit in SEMs with many items: Resolving unrecognized problems, relating old and new approaches, and “matching” power analysis approach to data analysis approach.	15
Using synthetic data to improve the reproducibility of statistical results in psychological research.	14
Supplemental Material for Generative Pretrained Transformer Models Can Function as Highly Reliable Second Screeners of Titles and Abstracts in Systematic Reviews: A Proof of Concept and Common Guideli	14
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.	14
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	14
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning	14
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	14
Correcting bias in extreme groups design using a missing data approach.	14
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	14
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	14
Tutorial: Artificial neural networks to analyze single-case experimental designs.	14
Mediation analysis using Bayesian tree ensembles.	13
Unidim: An index of scale homogeneity and unidimensionality.	13
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.	13
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects	12
A tutorial on bayesian networks for psychopathology researchers.	12
Coefficient of agreement between two raters corrected for category prevalence: Alternative to kappa.	12
How to develop, test, and extend multinomial processing tree models: A tutorial.	12
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.	12
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility	12
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	11
Bayesian approaches to designing replication studies.	10
The sum of all fears: Comparing networks based on symptom sum-scores.	10
Supplemental Material for Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models	10
Supplemental Material for Reconsideration of the Type I Error Rate for Psychological Science in the Era of Replication	10
Factorization of person response profiles to identify summative profiles carrying central response patterns.	10
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.	10
Prior sensitivity of null hypothesis Bayesian testing.	10
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models.	10
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	10
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)	10
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	10
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	10
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.	10
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	10
Local minima and factor rotations in exploratory factor analysis.	10
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors	10
Supplemental Material for Factor Analyzing Ordinal Items Requires Substantive Knowledge of Response Marginals	9
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models	9
Machine learning for propensity score estimation: A systematic review and reporting guidelines.	9
Modeling individual differences in the timing of change onset and offset.	9
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators	9
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	9
The Bayes factor, HDI-ROPE, and frequentist equivalence tests can all be reverse engineered—Almost exactly—From one another: Reply to Linde et al. (2021).	9
Improving inferential analyses predata and postdata.	9
Acknowledgment of Ad Hoc Reviewers	9
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.	9
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	9
Supplemental Material for Testing Bipolarity	9
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists	8
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	8
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.	8
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.	8
Supplemental Material for Causal Relationships in Longitudinal Observational Data: An Integrative Modeling Approach	8
Misspecification and unreliable interpretations in psychology and social science.	8
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.	8
Supplemental Material for The Henseler-Ogasawara Specification of Composites in Structural Equation Modeling: A Tutorial	8
A tutorial on assessing statistical power and determining sample size for structural equation models.	8
Assessing the fitting propensity of factor models.	8
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	8
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	7
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods	7
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.	7
A deep learning method for comparing Bayesian hierarchical models.	7
Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.	7
Supplemental Material for Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice	7
Ten frequently asked questions about latent transition analysis.	7

Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.	7
Supplemental Material for Which Estimation Method to Choose in Network Psychometrics? Deriving Guidelines for Applied Researchers	7
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.	7
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	7
Seeing the impossible: Visualizing latent variable models with flexplavaan.	7
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	7
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis	7
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	7
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	7
The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.	7