Psychological Methods

Article	Citations
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	929
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models	493
Supplemental Material for Subgroup Discovery in Structural Equation Models	339
A simple recommendation for the analysis of matching data.	292
Relative importance analysis in multiple mediator models.	242
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	237
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	171
Dynamic measurement invariance cutoffs for two-group fit index differences.	164
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	139
Effect size guidelines for cross-lagged effects.	125
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.	116
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect	113
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	109
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	97
Multivariate analysis of covariance for heterogeneous and incomplete data.	90
Bayesian regularization in multiple-indicators multiple-causes models.	84
Regression discontinuity designs in a latent variable framework.	83
Estimating time-varying treatment effects in longitudinal studies.	77
Correcting for collider effects and sample selection bias in psychological research.	68
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	66
Subgroup discovery in structural equation models.	65
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	63
The accuracy of reliability coefficients: A reanalysis of existing simulations.	62
Supplemental Material for Are Factor Scores Measurement Invariant?	57
Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates	54

Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models	50
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	47
How to analyze visual data using zero-shot learning: An overview and tutorial.	45
Latent growth factors as predictors of distal outcomes.	44
Supplemental Material for Modeling Psychological Time Series With Multilevel Hidden Markov Models: A Tutorial	44
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	44
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	43
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	43
Improved confidence intervals for differences between standardized effect sizes.	41
Causal inference for treatment effects in partially nested designs.	40
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	38
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	36
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.	35
The Bayesian reservoir model of psychological regulation.	35
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	35
Reporting standards for psychological network analyses in cross-sectional data.	35
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.	34
Using natural language processing and machine learning to replace human content coders.	33
Supplemental Material for Variable Selection for Explaining Interindividual Heterogeneity in Longitudinal Growth Trajectories	32
Reassessing the fitting propensity of factor models.	32
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	32
Network science in psychology.	31
Who is and is not “average”? Random effects selection with spike-and-slab priors.	30
A tutorial and methodological review of linear time series models: Using R and SPSS.	30
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	30
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	29
Causal definitions versus casual estimation: Reply to Valente et al. (2022).	28
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.	27
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	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
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.	26
Statistical power and optimal design for randomized controlled trials investigating mediation effects.	26
Supplemental Material for Iterated Community Detection in Psychological Networks	25
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation	25
What are the mathematical bounds for coefficient α?	25
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	24
Continuous-time structural equation model forests.	24
From the 1940s to 2020s: A review of the current state of forced-choice methodology.	23
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	23
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	23
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach	22
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	22
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	22
Evaluating avoidable heterogeneity in exploratory factor analysis results.	22
Causal relationships in longitudinal observational data: An integrative modeling approach.	22
Mixture multilevel vector-autoregressive modeling.	22
Ricci curvature and the stream of thought.	21
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores	21
A factored regression approach to modeling latent variable interactions and nonlinear effects.	21
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes	21

Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.	20
Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling	20
Supplemental Material for Comparison of Latent Growth Curves: A Parameter Constancy Test	19
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox	19
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error	19
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.	19
Supplemental Material for From the 1940s to 2020s: A Review of the Current State of Forced-Choice Methodology	18
Are factor scores measurement invariant?	18
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	18
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	17
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.	17
Using synthetic data to improve the reproducibility of statistical results in psychological research.	17
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	17
Interpretable machine learning for psychological research: Opportunities and pitfalls.	17
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.	17
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning	17
Estimating causal effects on psychological networks using item response theory.	17
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	17
Mediation analysis using Bayesian tree ensembles.	16
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.	16
Correcting bias in extreme groups design using a missing data approach.	16
Supplemental Material for You Must Parcel Carefully If You Have To! Comparing Eight Item Parceling Strategies With the Item-Level Model for Bifactor Predictive Modwels	15
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	15
Unidim: An index of scale homogeneity and unidimensionality.	15
A tutorial on bayesian networks for psychopathology researchers.	15
How to develop, test, and extend multinomial processing tree models: A tutorial.	15
Tutorial: Artificial neural networks to analyze single-case experimental designs.	15
Supplemental Material for A Time-Varying Interaction Map Approach for Longitudinal Assessments	15
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	14
Estimating ordinal factor analysis and item response theory models: A comparison of full- and limited-information techniques.	14
A two-stage approach to account for measurement error when using empirical Bayes estimates of random slopes.	14
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility	14
Planned missingness to reduce survey length: A sheep in wolf’s clothing.	14
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	14
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects	14
Supplemental Material for Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models	14
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.	14
Prior sensitivity of null hypothesis Bayesian testing.	13
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	13
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	13
Bayesian approaches to designing replication studies.	13
Coefficient of agreement between two raters corrected for category prevalence: Alternative to kappa.	13
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	13
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.	13
Local minima and factor rotations in exploratory factor analysis.	12
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.	12
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)	12
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models.	12
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors	12
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.	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	11
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators	11
Factorization of person response profiles to identify summative profiles carrying central response patterns.	11
Supplemental Material for Factor Analyzing Ordinal Items Requires Substantive Knowledge of Response Marginals	11
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models	11
Acknowledgment of Ad Hoc Reviewers	11
Modeling individual differences in the timing of change onset and offset.	10
Improving inferential analyses predata and postdata.	10
A primer on equivalence (negligible effect) testing.	10
Supplemental Material for Causal Relationships in Longitudinal Observational Data: An Integrative Modeling Approach	10
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	10
Supplemental Material for Causal Mediation Analysis With One or Multiple Mediators: A Comparative Study	10
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.	10
Misspecification and unreliable interpretations in psychology and social science.	10
Machine learning for propensity score estimation: A systematic review and reporting guidelines.	10
Supplemental Material for Testing Bipolarity	10
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists	10
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).	10
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	9
Assessing the fitting propensity of factor models.	9
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis	9
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.	9
A tutorial on assessing statistical power and determining sample size for structural equation models.	9
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	9
Supplemental Material for Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice	9
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.	9
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.	9
Ten frequently asked questions about latent transition analysis.	9
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods	9
The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.	8

Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	8
Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.	8
A deep learning method for comparing Bayesian hierarchical models.	8
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models	8
Supplemental Material for Unlocking Nonlinear Dynamics and Multistability From Intensive Longitudinal Data: A Novel Method	8
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	8
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	8
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.	8
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	8
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)	8
Reconsideration of the type I error rate for psychological science in the era of replication.	8
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.	8
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	8
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	8
A simple Monte Carlo method for estimating power in multilevel designs.	8
Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices	8
Seeing the impossible: Visualizing latent variable models with flexplavaan.	8
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.	7
Scaling and estimation of latent growth models with categorical indicator variables.	7
Random item slope regression: An alternative measurement model that accounts for both similarities and differences in association with individual items.	7
A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.	7
A causal theory of error scores.	7
A tool to simulate and visualize dyadic interaction dynamics.	7
Supplemental Material for Multivariate Analysis of Covariance for Heterogeneous and Incomplete Data	7
Testing similarity in longitudinal networks: The Individual Network Invariance Test.	7
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.	7
Comparing theories with the Ising model of explanatory coherence.	7
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.	7
Regression with reduced rank predictor matrices: A model of trade-offs.	7
Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities.	7
Handling missing values when using neighborhood selection for network analysis.	7
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.	7
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.	6
Correcting for the multiplicative and additive effects of measurement unreliability in meta-analysis of correlations.	6
Reliability in unidimensional ordinal data: A comparison of continuous and ordinal estimators.	6
Evaluating multinomial order restrictions with bridge sampling.	6
One step at a time: A statistical approach for distinguishing mediators, confounders, and colliders using direction dependence analysis.	6
Testing informative hypotheses in factor analysis models using bayes factors.	6
Supplemental Material for Inference With Cross-Lagged Effects—Problems in Time	6
Supplemental Material for Regularized Continuous Time Structural Equation Models: A Network Perspective	6
Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach	6
Inferences and effect sizes for direct, indirect, and total effects in continuous-time mediation models.	6
True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?	6
Supplemental Material for Dynamic Factor Analysis With Multivariate Time Series of Multiple Individuals: An Error-Corrected Estimation Method	6
Learning to live with sampling variability: Expected replicability in partial correlation networks.	6
How to conduct an integrative mixed methods meta-analysis: A tutorial for the systematic review of quantitative and qualitative evidence.	6
Supplemental Material for Simplicity, Complexity, and the Standardized Mean Difference Between Two Independent Groups	6
How should we model the effect of “change”—Or should we?	6
Supplemental Material for Empirical Selection of Referent Variables: Comparing Multiple-Indicator Multiple-Cause-Interaction Modeling and Moderated Nonlinear Factor Analysis	6
Dynamic structural equation modeling with floor effects.	6
Data-driven covariate selection for confounding adjustment by focusing on the stability of the effect estimator.	6
Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizes.	6
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	6
Workflow techniques for the robust use of bayes factors.	6
Spurious inference in consensus emergence modeling due to the distinguishability problem.	6
Evaluation of missing data analytical techniques in longitudinal research: Traditional and machine learning approaches.	6
Using latent class analysis to justify a latent continuum in item development.	6
Supplemental Material for The Repeated Adjustment of Measurement Protocols Method for Developing High-Validity Text Classifiers	6
Supplemental Material for Correcting Bias in Extreme Groups Design Using a Missing Data Approach	6
Bayesian (non)linear random effects mediation models: Evaluating the impact of omitting confounders.	6
Neural text embeddings in psychological research: A guide with examples in R.	6
Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).	6
Improving the probability of reaching correct conclusions about congruence hypotheses: Integrating statistical equivalence testing into response surface analysis.	6
Supplemental Material for Experiments in Daily Life: When Causal Within-Person Effects Do (Not) Translate Into Between-Person Differences	5
Supplemental Material for A Factored Regression Model for Composite Scores With Item-Level Missing Data	5
Daily dynamics and weekly rhythms: A tutorial on seasonal autoregressive–moving average models combined with day-of-the-week effects.	5
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?	5
Meta-analyzing the multiverse: A peek under the hood of selective reporting.	5
Supplemental Material for A Sensitivity Analysis for Temporal Bias in Cross-Sectional Mediation	5
The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs.	5
Regularized continuous time structural equation models: A network perspective.	5
Nested model comparisons between common factors and composites.	5
Interim design analysis using Bayes factor forecasts.	5
Supplemental Material for Correcting Bias in the Meta-Analysis of Correlations	5
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.	5
The invariance partial pruning approach to the network comparison in time-series and panel data.	5
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.	5
Addressing heterogeneous populations in latent variable settings through robust estimation.	5
Supplemental Material for Planned Missingness to Reduce Survey Length: A Sheep in Wolf’s Clothing	5
Bayes factors for logistic (mixed-effect) models.	5
Supplemental Material for The Text-Package: An R-Package for Analyzing and Visualizing Human Language Using Natural Language Processing and Transformers	5
Sample size planning for replication studies: The devil is in the design.	5
A systematic review of and reflection on the applications of factor mixture modeling.	5
Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.	4
Distributional causal effects: Beyond an “averagarian” view of intervention effects.	4
Supplemental Material for You Cannot Just Count: A Statistical Rethinking of Semantic Richness in Free-Generation Tasks and Semantic Norms	4
A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity models.	4
Supplemental Material for Improving Hierarchical Models of Individual Differences: An Extension of Goldberg’s Bass-Ackward Method	4
Let sleeping dogs lie? How to deal with the night gap problem in experience sampling method data.	4
Conditional process analysis for two-instance repeated-measures designs.	4
Causal mediation analysis with two mediators: A comprehensive guide to estimating total and natural effects across various multiple mediators setups.	4
Supplemental Material for Better Power by Design: Permuted-Subblock Randomization Boosts Power in Repeated-Measures Experiments	4
Heteroskedasticity-robust inference in Bayesian linear regression via the generalized method of moments.	4
Distributionally weighted least squares in structural equation modeling.	4
A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics.	4