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
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	47
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	47
Effect size guidelines for cross-lagged effects.	45
Regression discontinuity designs in a latent variable framework.	45
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	43
Supplemental Material for Are Factor Scores Measurement Invariant?	43

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 Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates	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
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
Causal inference for treatment effects in partially nested designs.	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
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
Using natural language processing and machine learning to replace human content coders.	21
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
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	20
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
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
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
Invited commentary: Comparing the independent segments procedure with group sequential designs.	18
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
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	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
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
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
Unidim: An index of scale homogeneity and unidimensionality.	13
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	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
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
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
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
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
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
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
Acknowledgment of Ad Hoc Reviewers	9
Modeling individual differences in the timing of change onset and offset.	9
Supplemental Material for Testing Bipolarity	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
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 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
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
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
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.	5
Testing similarity in longitudinal networks: The Individual Network Invariance Test.	5
Regression with reduced rank predictor matrices: A model of trade-offs.	5
A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.	5
Scaling and estimation of latent growth models with categorical indicator variables.	5
Comparing theories with the Ising model of explanatory coherence.	5
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.	5
Supplemental Material for An Introduction to Model Implied Instrumental Variables Using Two Stage Least Squares (MIIV-2SLS) in Structural Equation Models (SEMs)	5
A causal theory of error scores.	5
Supplemental Material for Multivariate Analysis of Covariance for Heterogeneous and Incomplete Data	5
Dynamic structural equation modeling with floor effects.	5
A tool to simulate and visualize dyadic interaction dynamics.	5
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.	5
Random item slope regression: An alternative measurement model that accounts for both similarities and differences in association with individual items.	5
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.	5
Workflow techniques for the robust use of bayes factors.	4
Testing informative hypotheses in factor analysis models using bayes factors.	4
Supplemental Material for Factor Score Estimation in Multimethod Measurement Designs With Planned Missing Data	4
Bayesian (non)linear random effects mediation models: Evaluating the impact of omitting confounders.	4
Supplemental Material for Correcting Bias in Extreme Groups Design Using a Missing Data Approach	4
Data-driven covariate selection for confounding adjustment by focusing on the stability of the effect estimator.	4
Supplemental Material for Investigating the Feasibility of Idiographic Network Models	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
How should we model the effect of “change”—Or should we?	4
How to conduct an integrative mixed methods meta-analysis: A tutorial for the systematic review of quantitative and qualitative evidence.	4
Supplemental Material for Inference With Cross-Lagged Effects—Problems in Time	4
Reliability in unidimensional ordinal data: A comparison of continuous and ordinal estimators.	4
Supplemental Material for Centering Categorical Predictors in Multilevel Models: Best Practices and Interpretation	4
Spurious inference in consensus emergence modeling due to the distinguishability problem.	4
Learning to live with sampling variability: Expected replicability in partial correlation networks.	4
Supplemental Material for A Sensitivity Analysis for Temporal Bias in Cross-Sectional Mediation	4
Evaluating multinomial order restrictions with bridge sampling.	4
One step at a time: A statistical approach for distinguishing mediators, confounders, and colliders using direction dependence analysis.	4
Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).	4
Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach	4
Supplemental Material for Empirical Selection of Referent Variables: Comparing Multiple-Indicator Multiple-Cause-Interaction Modeling and Moderated Nonlinear Factor Analysis	4
Supplemental Material for Regularized Continuous Time Structural Equation Models: A Network Perspective	4
Monte Carlo simulations using extant data to mimic populations: Applications to the modified linear probability model and logistic regression.	4
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.	4
Correcting for the multiplicative and additive effects of measurement unreliability in meta-analysis of correlations.	4
Missing data in experiments: Challenges and solutions.	4
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?	3
Causal inference with binary treatments from randomization versus binary treatments from categorization.	3
Supplemental Material for The Text-Package: An R-Package for Analyzing and Visualizing Human Language Using Natural Language Processing and Transformers	3
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.	3
Supplemental Material for Dynamic Factor Analysis With Multivariate Time Series of Multiple Individuals: An Error-Corrected Estimation Method	3
True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?	3
Supplemental Material for Correcting Bias in the Meta-Analysis of Correlations	3
On the efficiency of the independent segments procedure: A direct comparison with sequential probability ratio tests.	3
Regularized continuous time structural equation models: A network perspective.	3
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of p	3
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.	3
A systematic review of and reflection on the applications of factor mixture modeling.	3
New measures of effect size in moderation analysis.	3
Supplemental Material for Experiments in Daily Life: When Causal Within-Person Effects Do (Not) Translate Into Between-Person Differences	3
Bayes factors for logistic (mixed-effect) models.	3
Weighting schemes and incomplete data: A generalized Bayesian framework for chance-corrected interrater agreement.	3
The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs.	3
Interim design analysis using Bayes factor forecasts.	3
Meta-analyzing the multiverse: A peek under the hood of selective reporting.	3
Sample size planning for replication studies: The devil is in the design.	3
Improving the probability of reaching correct conclusions about congruence hypotheses: Integrating statistical equivalence testing into response surface analysis.	3
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample.	3
Supplemental Material for Two-Stage Path Analysis With Definition Variables: An Alternative Framework to Account for Measurement Error	3
Supplemental Material for A Structural Equation Modeling Approach for Modeling Variability as a Latent Variable	2
Reliability for multilevel data: A correlation approach.	2
Supplemental Material for Reliability in Unidimensional Ordinal Data: A Comparison of Continuous and Ordinal Estimators	2
A peculiarity in psychological measurement practices.	2
Supplemental Material for Generalized Gaussian Signal Detection Theory: A Unified Signal Detection Framework for Confidence Data Analysis	2
Embrace the heterogeneity in exploratory factor analysis but be transparent about what you do—A commentary on Manapat et al. (2023).	2
Supplemental Material for How Survey Scoring Decisions Can Influence Your Study’s Results: A Trip Through the IRT Looking Glass	2
Supplemental Material for Trying to Outrun Causality With Machine Learning: Limitations of Model Explainability Techniques for Exploratory Research	2
Everything has its price: Foundations of cost-sensitive machine learning and its application in psychology.	2
Supplemental Material for Missing Not at Random Intensive Longitudinal Data With Dynamic Structural Equation Models	2
Supplemental Material for Bayesian Continuous-Time Hidden Markov Models With Covariate Selection for Intensive Longitudinal Data With Measurement Error	2
Supplemental Material for Demystifying Omega Squared: Practical Guidance for Effect Size in Common Analysis of Variance Designs	2
Supplemental Material for Let the Algorithm Speak: How to Use Neural Networks for Automatic Item Generation in Psychological Scale Development	2
A tutorial on regression-based norming of psychological tests with GAMLSS.	2
Missing not at random intensive longitudinal data with dynamic structural equation models.	2
Deep learning: A primer for psychologists.	2
Supplemental Material for Weighting Schemes and Incomplete Data: A Generalized Bayesian Framework for Chance-Corrected Interrater Agreement	2
Supplemental Material for Out of Bounds? The Boundary Specification Problem for Centrality in Psychological Networks	2
Supplemental Material for Measurement Invariance Testing Using Confirmatory Factor Analysis and Alignment Optimization: A Tutorial for Transparent Analysis Planning and Reporting	2