Psychological Methods

Article	Citations
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	961
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models	509
Bayesian regularization in multiple-indicators multiple-causes models.	349
Supplemental Material for Subgroup Discovery in Structural Equation Models	301
A simple recommendation for the analysis of matching data.	249
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect	248
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	181
Multivariate analysis of covariance for heterogeneous and incomplete data.	167
Estimating time-varying treatment effects in longitudinal studies.	145
Regression discontinuity designs in a latent variable framework.	131
The accuracy of reliability coefficients: A reanalysis of existing simulations.	120
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	114
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	114
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	97
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	96
Relative importance analysis in multiple mediator models.	89
A time-varying interaction map approach for longitudinal assessments.	85
Subgroup discovery in structural equation models.	80
Dynamic measurement invariance cutoffs for two-group fit index differences.	69
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	67
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.	66
Correcting for collider effects and sample selection bias in psychological research.	64
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	63
Effect size guidelines for cross-lagged effects.	57
Supplemental Material for Are Factor Scores Measurement Invariant?	56

Improved confidence intervals for differences between standardized effect sizes.	50
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	49
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models	46
Causal inference for treatment effects in partially nested designs.	46
Latent growth factors as predictors of distal outcomes.	46
How to analyze visual data using zero-shot learning: An overview and tutorial.	45
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	44
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	44
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	41
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	40
Supplemental Material for Modeling Psychological Time Series With Multilevel Hidden Markov Models: A Tutorial	39
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	37
Reporting standards for psychological network analyses in cross-sectional data.	37
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.	37
A tutorial and methodological review of linear time series models: Using R and SPSS.	36
The Bayesian reservoir model of psychological regulation.	36
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	36
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	36
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.	36
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	35
Who is and is not “average”? Random effects selection with spike-and-slab priors.	35
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	34
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.	33
Causal definitions versus casual estimation: Reply to Valente et al. (2022).	32
Reassessing the fitting propensity of factor models.	31
Statistical power and optimal design for randomized controlled trials investigating mediation effects.	31
Using natural language processing and machine learning to replace human content coders.	30
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	28
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.	28
Network science in psychology.	28
Supplemental Material for Three-Level Vector Autoregressive Models	27
Supplemental Material for Variable Selection for Explaining Interindividual Heterogeneity in Longitudinal Growth Trajectories	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.	27
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation	26
Supplemental Material for Iterated Community Detection in Psychological Networks	26
Continuous-time structural equation model forests.	25
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	25
What are the mathematical bounds for coefficient α?	25
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	25
Evaluating avoidable heterogeneity in exploratory factor analysis results.	24
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	24
Mixture multilevel vector-autoregressive modeling.	24
Causal relationships in longitudinal observational data: An integrative modeling approach.	23
From the 1940s to 2020s: A review of the current state of forced-choice methodology.	23
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	23
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	22
Supplemental Material for Comparison of Latent Growth Curves: A Parameter Constancy Test	22
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes	22
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error	22
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach	22

Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling	22
Using synthetic data to improve the reproducibility of statistical results in psychological research.	21
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox	20
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.	20
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	19
Are factor scores measurement invariant?	19
Ricci curvature and the stream of thought.	19
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.	19
A factored regression approach to modeling latent variable interactions and nonlinear effects.	19
Supplemental Material for Addressing Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes: A Tutorial in R	18
Estimating causal effects on psychological networks using item response theory.	18
Interpretable machine learning for psychological research: Opportunities and pitfalls.	18
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.	18
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	17
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning	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
Beyond the hype: A simulation study evaluating the predictive performance of machine learning models in psychology.	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
Supplemental Material for From the 1940s to 2020s: A Review of the Current State of Forced-Choice Methodology	17
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.	17
Tutorial: Artificial neural networks to analyze single-case experimental designs.	16
A tutorial on bayesian networks for psychopathology researchers.	16
Supplemental Material for A Time-Varying Interaction Map Approach for Longitudinal Assessments	16
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	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	16
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.	15
Correcting bias in extreme groups design using a missing data approach.	15
How to develop, test, and extend multinomial processing tree models: A tutorial.	15
Mediation analysis using Bayesian tree ensembles.	15
Unidim: An index of scale homogeneity and unidimensionality.	15
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects	15
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
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	14
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility	14
Supplemental Material for Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models	14
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	14
Harnessing the power of excess statistical significance: Weighted and iterative least squares.	14
Planned missingness to reduce survey length: A sheep in wolf’s clothing.	14
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	14
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.	14
Estimating ordinal factor analysis and item response theory models: A comparison of full- and limited-information techniques.	14
Bayesian approaches to designing replication studies.	13
Coefficient of agreement between two raters corrected for category prevalence: Alternative to kappa.	13
A two-stage approach to account for measurement error when using empirical Bayes estimates of random slopes.	13
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	13
Prior sensitivity of null hypothesis Bayesian testing.	13
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators	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 Bayesian Inference for Evidence Accumulation Models With Regressors	12
Local minima and factor rotations in exploratory factor analysis.	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
Acknowledgment of Ad Hoc Reviewers	11
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.	11
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	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
Modeling individual differences in the timing of change onset and offset.	11
Machine learning for propensity score estimation: A systematic review and reporting guidelines.	11
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models	11
Supplemental Material for Causal Mediation Analysis With One or Multiple Mediators: A Comparative Study	11
Improving inferential analyses predata and postdata.	11
Supplemental Material for Testing Bipolarity	10
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists	10
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	10
Factorization of person response profiles to identify summative profiles carrying central response patterns.	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
Supplemental Material for Causal Relationships in Longitudinal Observational Data: An Integrative Modeling Approach	10
Assessing the fitting propensity of factor models.	10
Extending bias adjustments for R-squared to multilevel models.	10
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.	10
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	10
A tutorial on assessing statistical power and determining sample size for structural equation models.	10
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods	9
A simple Monte Carlo method for estimating power in multilevel designs.	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 Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice	9
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.	9
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis	9
A primer on equivalence (negligible effect) testing.	9

The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.	9
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	9
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.	9
Supplemental Material for A Causal Framework for Explaining Effect Heterogeneity in Conceptual Replications	9
Misspecification and unreliable interpretations in psychology and social science.	9
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.	9
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.	8
Seeing the impossible: Visualizing latent variable models with flexplavaan.	8
A deep learning method for comparing Bayesian hierarchical models.	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
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	8
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.	8
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.	8
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.	8
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.	8
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models	8
Mixture multigroup factor analysis for unraveling factor loading noninvariance across many groups.	7
The sensitivity of structural equation modeling with ordinal data to underlying non-normality and observed distributional forms.	7
Causal decomposition analysis with synergistic interventions: A triply robust machine-learning approach to addressing multiple dimensions of social disparities.	7
Scaling and estimation of latent growth models with categorical indicator variables.	7
Regression with reduced rank predictor matrices: A model of trade-offs.	7
Supplemental Material for Multivariate Analysis of Covariance for Heterogeneous and Incomplete Data	7
A screen-time-based mixture model for identifying and monitoring careless and insufficient effort responding in ecological momentary assessment data.	7
The text-package: An R-package for analyzing and visualizing human language using natural language processing and transformers.	7
Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices	7
Handling missing values when using neighborhood selection for network analysis.	7
Comparing theories with the Ising model of explanatory coherence.	7
Dynamic structural equation modeling with floor effects.	7
Reconsideration of the type I error rate for psychological science in the era of replication.	7
Estimating the change in meta-analytic effect size estimates after the application of publication bias adjustment methods.	7
A tool to simulate and visualize dyadic interaction dynamics.	7
Supplemental Material for Unlocking Nonlinear Dynamics and Multistability From Intensive Longitudinal Data: A Novel Method	7
A causal theory of error scores.	7
Random item slope regression: An alternative measurement model that accounts for both similarities and differences in association with individual items.	7
Testing similarity in longitudinal networks: The Individual Network Invariance Test.	7
Neural text embeddings in psychological research: A guide with examples in R.	7
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)	7
Supplemental Material for Regularized Continuous Time Structural Equation Models: A Network Perspective	7
Supplemental Material for Correcting Bias in Extreme Groups Design Using a Missing Data Approach	6
Using latent class analysis to justify a latent continuum in item development.	6
Learning to live with sampling variability: Expected replicability in partial correlation networks.	6
Multidimensional nonadditivity in one-facet g-theory designs: A profile analytic approach.	6
How to conduct an integrative mixed methods meta-analysis: A tutorial for the systematic review of quantitative and qualitative evidence.	6
Bayesian (non)linear random effects mediation models: Evaluating the impact of omitting confounders.	6
Adapting methods for correcting selective reporting bias in meta-analysis of dependent effect sizes.	6
How should we model the effect of “change”—Or should we?	6
Supplemental Material for Simplicity, Complexity, and the Standardized Mean Difference Between Two Independent Groups	6
One step at a time: A statistical approach for distinguishing mediators, confounders, and colliders using direction dependence analysis.	6
Supplemental Material for The Repeated Adjustment of Measurement Protocols Method for Developing High-Validity Text Classifiers	6
Anticipating critical transitions in psychological systems using early warning signals: Theoretical and practical considerations.	6
Supplemental Material for A Sensitivity Analysis for Temporal Bias in Cross-Sectional Mediation	6
Supplemental Material for Dynamic Factor Analysis With Multivariate Time Series of Multiple Individuals: An Error-Corrected Estimation Method	6
Evaluation of missing data analytical techniques in longitudinal research: Traditional and machine learning approaches.	6
Reliability in unidimensional ordinal data: A comparison of continuous and ordinal estimators.	6
Workflow techniques for the robust use of bayes factors.	6
Supplemental Material for Solving Variables With Monte Carlo Simulation Experiments: A Stochastic Root-Solving Approach	6
Evaluating multinomial order restrictions with bridge sampling.	6
Supplemental Material for Empirical Selection of Referent Variables: Comparing Multiple-Indicator Multiple-Cause-Interaction Modeling and Moderated Nonlinear Factor Analysis	6
Latent growth mixture models as latent variable multigroup factor models: Comment on McNeish et al. (2023).	6
The invariance partial pruning approach to the network comparison in time-series and panel data.	6
Correcting for the multiplicative and additive effects of measurement unreliability in meta-analysis of correlations.	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
Inferences and effect sizes for direct, indirect, and total effects in continuous-time mediation models.	6
Testing informative hypotheses in factor analysis models using bayes factors.	6
Data-driven covariate selection for confounding adjustment by focusing on the stability of the effect estimator.	6
Supplemental Material for Inference With Cross-Lagged Effects—Problems in Time	6
Spurious inference in consensus emergence modeling due to the distinguishability problem.	6
Supplemental Material for Experiments in Daily Life: When Causal Within-Person Effects Do (Not) Translate Into Between-Person Differences	5
A primer on synthesizing individual participant data obtained from complex sampling surveys: A two-stage IPD meta-analysis approach.	5
A systematic review of and reflection on the applications of factor mixture modeling.	5
Sample size planning for replication studies: The devil is in the design.	5
Bayes factors for logistic (mixed-effect) models.	5
Misbegotten methodologies and forgotten lessons from Tom Swift’s electric factor analysis machine: A demonstration with competing structural models of p	5
A tutorial on ordinary differential equations in behavioral science: What does physics teach us?	5
The pairwise approximate spatiotemporal symmetry algorithm: A method for segmenting time series pairs.	5
Meta-analyzing the multiverse: A peek under the hood of selective reporting.	5
True and error analysis instead of test of correlated proportions: Can we save lexicographic semiorder models with error theory?	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
Addressing heterogeneous populations in latent variable settings through robust estimation.	5
Regularized continuous time structural equation models: A network perspective.	5
Supplemental Material for The Text-Package: An R-Package for Analyzing and Visualizing Human Language Using Natural Language Processing and Transformers	5
Improving the probability of reaching correct conclusions about congruence hypotheses: Integrating statistical equivalence testing into response surface analysis.	5
Supplemental Material for Correcting Bias in the Meta-Analysis of Correlations	5
The repeated adjustment of measurement protocols method for developing high-validity text classifiers.	5
Bayesian penalty methods for evaluating measurement invariance in moderated nonlinear factor analysis.	5
Causal inference with binary treatments from randomization versus binary treatments from categorization.	5
Interim design analysis using Bayes factor forecasts.	5
Parsimony in model selection: Tools for assessing fit propensity.	4
Conditional process analysis for two-instance repeated-measures designs.	4
Heteroskedasticity-robust inference in Bayesian linear regression via the generalized method of moments.	4
A comparison of spectral clustering and the walktrap algorithm for community detection in network psychometrics.	4
Assessing qualitative individual differences with Bayesian hierarchical latent-mixture models.	4
A new frontier for studying within-person variability: Bayesian multivariate generalized autoregressive conditional heteroskedasticity models.	4
Let sleeping dogs lie? How to deal with the night gap problem in experience sampling method data.	4