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
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	55
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	55
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	52
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 Are Factor Scores Measurement Invariant?	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
Latent growth factors as predictors of distal outcomes.	37
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.	37
Improved confidence intervals for differences between standardized effect sizes.	36
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	35
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	35
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.	33
Causal inference for treatment effects in partially nested designs.	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
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	29
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	29
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	28
Reporting standards for psychological network analyses in cross-sectional data.	27
Practical challenges and methodological flexibility in prior elicitation.	27
Network science in psychology.	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.	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
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
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	24
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
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
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
Using natural language processing and machine learning to replace human content coders.	22
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
Supplemental Material for Iterated Community Detection in Psychological Networks	21
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	20
What are the mathematical bounds for coefficient α?	20
Continuous-time structural equation model forests.	20
Mixture multilevel vector-autoregressive modeling.	19
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	19
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	19
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
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
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
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores	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
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
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
A factored regression approach to modeling latent variable interactions and nonlinear effects.	15
Interpretable machine learning for psychological research: Opportunities and pitfalls.	15
Estimating causal effects on psychological networks using item response theory.	15
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.	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 Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility	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
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 Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	11
Local minima and factor rotations in exploratory factor analysis.	10
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors	10
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
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 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
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
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
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	6
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)	6
Dynamic structural equation modeling with floor effects.	6
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models	6
Comparing theories with the Ising model of explanatory coherence.	6
A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.	6
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.	6
Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices	6
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.	6
Scaling and estimation of latent growth models with categorical indicator variables.	6
Supplemental Material for Multivariate Analysis of Covariance for Heterogeneous and Incomplete Data	6
Regression with reduced rank predictor matrices: A model of trade-offs.	6
Supplemental Material for Unlocking Nonlinear Dynamics and Multistability From Intensive Longitudinal Data: A Novel Method	6
Reconsideration of the type I error rate for psychological science in the era of replication.	6
A simple Monte Carlo method for estimating power in multilevel designs.	6
Random item slope regression: An alternative measurement model that accounts for both similarities and differences in association with individual items.	6
A causal theory of error scores.	6
Supplemental Material for The Repeated Adjustment of Measurement Protocols Method for Developing High-Validity Text Classifiers	5
Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities.	5
Data-driven covariate selection for confounding adjustment by focusing on the stability of the effect estimator.	5
Neural text embeddings in psychological research: A guide with examples in R.	5
Supplemental Material for Centering Categorical Predictors in Multilevel Models: Best Practices and Interpretation	5
Supplemental Material for Factor Score Estimation in Multimethod Measurement Designs With Planned Missing Data	5
Testing informative hypotheses in factor analysis models using bayes factors.	5
How should we model the effect of “change”—Or should we?	5
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.	5
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.	5
A tool to simulate and visualize dyadic interaction dynamics.	5
Supplemental Material for Regularized Continuous Time Structural Equation Models: A Network Perspective	5
Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).	5
Learning to live with sampling variability: Expected replicability in partial correlation networks.	5
One step at a time: A statistical approach for distinguishing mediators, confounders, and colliders using direction dependence analysis.	5
Supplemental Material for Empirical Selection of Referent Variables: Comparing Multiple-Indicator Multiple-Cause-Interaction Modeling and Moderated Nonlinear Factor Analysis	5
Reliability in unidimensional ordinal data: A comparison of continuous and ordinal estimators.	5
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.	5
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.	5
Testing similarity in longitudinal networks: The Individual Network Invariance Test.	5
Supplemental Material for Correcting Bias in Extreme Groups Design Using a Missing Data Approach	5
Evaluating multinomial order restrictions with bridge sampling.	5
Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizes.	5
Bayesian (non)linear random effects mediation models: Evaluating the impact of omitting confounders.	4
True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?	4
Meta-analyzing the multiverse: A peek under the hood of selective reporting.	4
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.	4
Workflow techniques for the robust use of bayes factors.	4
Spurious inference in consensus emergence modeling due to the distinguishability problem.	4
Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach	4
Missing data in experiments: Challenges and solutions.	4
Supplemental Material for How Do Unobserved Confounding Mediators and Measurement Error Impact Estimated Mediation Effects and Corresponding Statistical Inferences? Introducing the R Package ConMed fo	4
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.	4
Evaluation of missing data analytical techniques in longitudinal research: Traditional and machine learning approaches.	4
Supplemental Material for Dynamic Factor Analysis With Multivariate Time Series of Multiple Individuals: An Error-Corrected Estimation Method	4
Supplemental Material for Inference With Cross-Lagged Effects—Problems in Time	4
Supplemental Material for Investigating the Feasibility of Idiographic Network Models	4
Supplemental Material for A Sensitivity Analysis for Temporal Bias in Cross-Sectional Mediation	4
Correcting for the multiplicative and additive effects of measurement unreliability in meta-analysis of correlations.	4
Inferences and effect sizes for direct, indirect, and total effects in continuous-time mediation models.	4
How to conduct an integrative mixed methods meta-analysis: A tutorial for the systematic review of quantitative and qualitative evidence.	4
Causal inference with binary treatments from randomization versus binary treatments from categorization.	3
Supplemental Material for Two-Stage Path Analysis With Definition Variables: An Alternative Framework to Account for Measurement Error	3
A systematic review of and reflection on the applications of factor mixture modeling.	3
Supplemental Material for The Text-Package: An R-Package for Analyzing and Visualizing Human Language Using Natural Language Processing and Transformers	3
Supplemental Material for Mixture Multilevel Vector-Autoregressive Modeling	3
The repeated adjustment of measurement protocols method for developing high-validity text classifiers.	3
Regularized continuous time structural equation models: A network perspective.	3
Supplemental Material for Applying Multivariate Generalizability Theory to Psychological Assessments	3
Supplemental Material for Correcting Bias in the Meta-Analysis of Correlations	3
The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs.	3
New measures of effect size in moderation analysis.	3
Sample size planning for replication studies: The devil is in the design.	3
Daily dynamics and weekly rhythms: A tutorial on seasonal autoregressive–moving average models combined with day-of-the-week effects.	3
Interim design analysis using Bayes factor forecasts.	3
Bayes factors for logistic (mixed-effect) models.	3
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of p	3
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?	3
Supplemental Material for Experiments in Daily Life: When Causal Within-Person Effects Do (Not) Translate Into Between-Person Differences	3
Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.	3
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.	3
Improving the probability of reaching correct conclusions about congruence hypotheses: Integrating statistical equivalence testing into response surface analysis.	3
Addressing heterogeneous populations in latent variable settings through robust estimation.	3
Supplemental Material for A Factored Regression Model for Composite Scores With Item-Level Missing Data	3
Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.	3
Correspondence measures for assessing replication success.	3
Supplemental Material for One Step at a Time: A Statistical Approach for Distinguishing Mediators, Confounders, and Colliders Using Direction Dependence Analysis	3
Supplemental Material for Missing Not at Random Intensive Longitudinal Data With Dynamic Structural Equation Models	2