Psychological Methods

Article	Citations
Relative importance analysis in multiple mediator models.	491
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	281
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models	200
The accuracy of reliability coefficients: A reanalysis of existing simulations.	183
Situational optimization function analysis: An ideal performance analysis inspired on Lewin’s equation.	181
Evaluation of inequality constrained hypotheses using a generalization of the AIC.	157
Subgroup discovery in structural equation models.	139
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	105
Multivariate analysis of covariance for heterogeneous and incomplete data.	102
Correcting for collider effects and sample selection bias in psychological research.	93
Supplemental Material for Subgroup Discovery in Structural Equation Models	88
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect	80
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	74
Estimating time-varying treatment effects in longitudinal studies.	67
Bayesian regularization in multiple-indicators multiple-causes models.	62
A simple recommendation for the analysis of matching data.	52
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	51
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	49
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	48
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	47
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	47
Effect size guidelines for cross-lagged effects.	45
Regression discontinuity designs in a latent variable framework.	45
Supplemental Material for Are Factor Scores Measurement Invariant?	43
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	43

Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates	42
Supplemental Material for The Influence of Autoregressive Relation Strength and Search Strategy on Directionality Recovery in Group Iterative Multiple Model Estimation	42
Supplemental Material for Improved Confidence Intervals for Differences Between Standardized Effect Sizes	38
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	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	36
Latent growth factors as predictors of distal outcomes.	33
Improved confidence intervals for differences between standardized effect sizes.	32
Causal inference for treatment effects in partially nested designs.	29
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	29
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	29
Practical challenges and methodological flexibility in prior elicitation.	27
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	27
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	27
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	26
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	26
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.	26
Reporting standards for psychological network analyses in cross-sectional data.	24
Supplemental Material for New Computations for RMSEA and CFI Following FIML and TS Estimation With Missing Data	24
Who is and is not “average”? Random effects selection with spike-and-slab priors.	24
Reassessing the fitting propensity of factor models.	22
Network science in psychology.	22
Using natural language processing and machine learning to replace human content coders.	21
The Bayesian reservoir model of psychological regulation.	21
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.	21
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.	21
Causal definitions versus casual estimation: Reply to Valente et al. (2022).	21
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	20
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	20
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.	20
Statistical power and optimal design for randomized controlled trials investigating mediation effects.	19
Supplemental Material for Comparing Network Structures on Three Aspects: A Permutation Test	19
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	19
Supplemental Material for Model-Based Incremental Validity	19
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	19
Supplemental Material for Workflow Techniques for the Robust Use of Bayes Factors	19
Invited commentary: Comparing the independent segments procedure with group sequential designs.	18
Mixture multilevel vector-autoregressive modeling.	18
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation	18
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	18
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	17
Causal relationships in longitudinal observational data: An integrative modeling approach.	17
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.	17
Supplemental Material for Iterated Community Detection in Psychological Networks	17
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	17
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	17
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	16
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes	16
Evaluating avoidable heterogeneity in exploratory factor analysis results.	16
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach	16
What are the mathematical bounds for coefficient α?	16

Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations	15
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox	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
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores	15
Are factor scores measurement invariant?	15
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	14
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error	14
Using synthetic data to improve the reproducibility of statistical results in psychological research.	14
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.	14
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning	14
Interpretable machine learning for psychological research: Opportunities and pitfalls.	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	13
Unidim: An index of scale homogeneity and unidimensionality.	13
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	13
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.	12
How to develop, test, and extend multinomial processing tree models: A tutorial.	12
Mediation analysis using Bayesian tree ensembles.	12
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	12
A tutorial on bayesian networks for psychopathology researchers.	12
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.	12
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility	12
The sum of all fears: Comparing networks based on symptom sum-scores.	12
Correcting bias in extreme groups design using a missing data approach.	12
Tutorial: Artificial neural networks to analyze single-case experimental designs.	12
Local minima and factor rotations in exploratory factor analysis.	11
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	11
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	11
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects	11
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.	11
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.	11
Prior sensitivity of null hypothesis Bayesian testing.	10
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	10
Supplemental Material for Reconsideration of the Type I Error Rate for Psychological Science in the Era of Replication	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
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
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)	10
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.	10
Bayesian approaches to designing replication studies.	10
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	10
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators	10
Acknowledgment of Ad Hoc Reviewers	9
Modeling individual differences in the timing of change onset and offset.	9
Supplemental Material for Testing Bipolarity	9
Factorization of person response profiles to identify summative profiles carrying central response patterns.	9
Supplemental Material for Factor Analyzing Ordinal Items Requires Substantive Knowledge of Response Marginals	9
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.	9
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	9
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors	9
Improving inferential analyses predata and postdata.	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).	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
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.	8
Supplemental Material for The Henseler-Ogasawara Specification of Composites in Structural Equation Modeling: A Tutorial	8
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.	8
Model specification for nonlinearity and heterogeneity of regression in randomized pretest posttest studies: Practical solutions for missing data.	8
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists	8
Assessing the fitting propensity of factor models.	8
A tutorial on assessing statistical power and determining sample size for structural equation models.	7
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	7
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis	7
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	7
Supplemental Material for Which Estimation Method to Choose in Network Psychometrics? Deriving Guidelines for Applied Researchers	7
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	7
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.	7
Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.	7
A simple Monte Carlo method for estimating power in multilevel designs.	7
Ten frequently asked questions about latent transition analysis.	7
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods	7
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.	7
The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.	7
A deep learning method for comparing Bayesian hierarchical models.	6
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)	6
Alternative sequential methods in statistical testing: A reply to Lakens (2021) and Erdfelder and Schnuerch (2021).	6
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	6
Seeing the impossible: Visualizing latent variable models with flexplavaan.	6
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.	6
Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.	6

Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices	6
Reconsideration of the type I error rate for psychological science in the era of replication.	6
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.	6
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.	6
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	6
Supplemental Material for Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice	6
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models	6
Supplemental Material for Unlocking Nonlinear Dynamics and Multistability From Intensive Longitudinal Data: A Novel Method	6
Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.	6
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	6
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	6
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	6