Psychological Methods

Article	Citations
Relative importance analysis in multiple mediator models.	739
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	403
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models	275
Supplemental Material for Subgroup Discovery in Structural Equation Models	239
A simple recommendation for the analysis of matching data.	204
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.	179
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect	142
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	136
Subgroup discovery in structural equation models.	121
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	101
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	96
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	90
Dynamic measurement invariance cutoffs for two-group fit index differences.	81
The accuracy of reliability coefficients: A reanalysis of existing simulations.	78
Correcting for collider effects and sample selection bias in psychological research.	71
Bayesian regularization in multiple-indicators multiple-causes models.	66
Regression discontinuity designs in a latent variable framework.	63
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	63
Multivariate analysis of covariance for heterogeneous and incomplete data.	63
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	59
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	57
Estimating time-varying treatment effects in longitudinal studies.	57
Effect size guidelines for cross-lagged effects.	55
Supplemental Material for Are Factor Scores Measurement Invariant?	54
Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates	48

Supplemental Material for Improved Confidence Intervals for Differences Between Standardized Effect Sizes	48
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models	46
Improved confidence intervals for differences between standardized effect sizes.	40
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.	39
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	38
How to analyze visual data using zero-shot learning: An overview and tutorial.	38
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	37
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	35
Practical challenges and methodological flexibility in prior elicitation.	35
Causal inference for treatment effects in partially nested designs.	34
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	34
Latent growth factors as predictors of distal outcomes.	33
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	33
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	31
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	30
The Bayesian reservoir model of psychological regulation.	29
Reporting standards for psychological network analyses in cross-sectional data.	29
Statistical power and optimal design for randomized controlled trials investigating mediation effects.	28
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.	28
Network science in psychology.	27
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	27
Reassessing the fitting propensity of factor models.	27
Supplemental Material for New Computations for RMSEA and CFI Following FIML and TS Estimation With Missing Data	27
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.	26
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.	25
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.	25
Using natural language processing and machine learning to replace human content coders.	25
A tutorial and methodological review of linear time series models: Using R and SPSS.	25
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	24
Causal definitions versus casual estimation: Reply to Valente et al. (2022).	24
Who is and is not “average”? Random effects selection with spike-and-slab priors.	24
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	23
Supplemental Material for Workflow Techniques for the Robust Use of Bayes Factors	23
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	23
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation	22
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	22
Supplemental Material for Iterated Community Detection in Psychological Networks	22
Supplemental Material for Comparing Network Structures on Three Aspects: A Permutation Test	21
Continuous-time structural equation model forests.	21
Evaluating avoidable heterogeneity in exploratory factor analysis results.	21
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	20
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	20
What are the mathematical bounds for coefficient α?	20
Mixture multilevel vector-autoregressive modeling.	19
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	19
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	19
Causal relationships in longitudinal observational data: An integrative modeling approach.	19
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach	18
Are factor scores measurement invariant?	18
Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations	18

Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes	18
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.	18
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores	18
Estimating causal effects on psychological networks using item response theory.	18
Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling	17
A factored regression approach to modeling latent variable interactions and nonlinear effects.	17
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error	17
Ricci curvature and the stream of thought.	16
Supplemental Material for Comparison of Latent Growth Curves: A Parameter Constancy Test	16
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox	16
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.	16
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.	15
Interpretable machine learning for psychological research: Opportunities and pitfalls.	15
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	15
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	15
Using synthetic data to improve the reproducibility of statistical results in psychological research.	15
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning	15
Correcting bias in extreme groups design using a missing data approach.	14
Unidim: An index of scale homogeneity and unidimensionality.	14
Mediation analysis using Bayesian tree ensembles.	14
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.	14
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.	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
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	13
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	13
Tutorial: Artificial neural networks to analyze single-case experimental designs.	13
How to develop, test, and extend multinomial processing tree models: A tutorial.	13
A tutorial on bayesian networks for psychopathology researchers.	12
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility	12
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models.	12
Local minima and factor rotations in exploratory factor analysis.	12
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects	12
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	12
Supplemental Material for Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models	12
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	12
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.	12
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	12
Estimating ordinal factor analysis and item response theory models: A comparison of full- and limited-information techniques.	11
Coefficient of agreement between two raters corrected for category prevalence: Alternative to kappa.	11
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	11
Prior sensitivity of null hypothesis Bayesian testing.	11
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	10
Supplemental Material for Reconsideration of the Type I Error Rate for Psychological Science in the Era of Replication	10
Bayesian approaches to designing replication studies.	10
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models	10
Factorization of person response profiles to identify summative profiles carrying central response patterns.	10
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.	10
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)	10
Supplemental Material for Factor Analyzing Ordinal Items Requires Substantive Knowledge of Response Marginals	10
Modeling individual differences in the timing of change onset and offset.	10
Acknowledgment of Ad Hoc Reviewers	10
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors	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
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators	10
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	10
Machine learning for propensity score estimation: A systematic review and reporting guidelines.	10
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists	9
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	9
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.	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
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.	9
Supplemental Material for Testing Bipolarity	9
Assessing the fitting propensity of factor models.	8
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	8
Ten frequently asked questions about latent transition analysis.	8
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.	8
Misspecification and unreliable interpretations in psychology and social science.	8
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis	8
Supplemental Material for Causal Relationships in Longitudinal Observational Data: An Integrative Modeling Approach	8
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.	8
A tutorial on assessing statistical power and determining sample size for structural equation models.	8
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	8
A simple Monte Carlo method for estimating power in multilevel designs.	7
Seeing the impossible: Visualizing latent variable models with flexplavaan.	7
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	7
A deep learning method for comparing Bayesian hierarchical models.	7
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.	7
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)	7
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	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
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.	7
Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices	7
The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.	7
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.	7
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	7
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	7
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods	7
Supplemental Material for Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice	7
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	7
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.	7
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.	7
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models	7
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	7