Psychological Methods

Article	Citations
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs	1054
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models	570
Supplemental Material for Subgroup Discovery in Structural Equation Models	381
A simple recommendation for the analysis of matching data.	325
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect	287
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study	281
Multivariate analysis of covariance for heterogeneous and incomplete data.	198
Regression discontinuity designs in a latent variable framework.	175
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.	161
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.	138
Relative importance analysis in multiple mediator models.	138
Subgroup discovery in structural equation models.	122
The accuracy of reliability coefficients: A reanalysis of existing simulations.	118
Bayesian regularization in multiple-indicators multiple-causes models.	117
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.	103
Estimating time-varying treatment effects in longitudinal studies.	95
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.	92
Dynamic measurement invariance cutoffs for two-group fit index differences.	89
A time-varying interaction map approach for longitudinal assessments.	76
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.	75
Correcting for collider effects and sample selection bias in psychological research.	72
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.	68
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.	60
Effect size guidelines for cross-lagged effects.	59
Supplemental Material for Are Factor Scores Measurement Invariant?	57

Causal inference for treatment effects in partially nested designs.	55
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models	53
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.	52
How to analyze visual data using zero-shot learning: An overview and tutorial.	52
Supplemental Material for Modeling Psychological Time Series With Multilevel Hidden Markov Models: A Tutorial	48
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.	48
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.	47
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.	47
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.	44
Reporting standards for psychological network analyses in cross-sectional data.	44
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.	43
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.	43
Latent growth factors as predictors of distal outcomes.	42
Improved confidence intervals for differences between standardized effect sizes.	42
Network science in psychology.	41
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.	41
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.	41
The Bayesian reservoir model of psychological regulation.	41
Who is and is not “average”? Random effects selection with spike-and-slab priors.	39
A tutorial and methodological review of linear time series models: Using R and SPSS.	39
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.	37
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size	37
Causal definitions versus casual estimation: Reply to Valente et al. (2022).	36
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.	36
Statistical power and optimal design for randomized controlled trials investigating mediation effects.	35
Supplemental Material for Variable Selection for Explaining Interindividual Heterogeneity in Longitudinal Growth Trajectories	34
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.	33
Supplemental Material for Three-Level Vector Autoregressive Models	32
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.	31
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.	31
Reassessing the fitting propensity of factor models.	30
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.	29
Supplemental Material for Iterated Community Detection in Psychological Networks	29
Continuous-time structural equation model forests.	29
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.	29
What are the mathematical bounds for coefficient α?	29
Using natural language processing and machine learning to replace human content coders.	29
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.	27
Evaluating avoidable heterogeneity in exploratory factor analysis results.	27
From the 1940s to 2020s: A review of the current state of forced-choice methodology.	27
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.	25
Mixture multilevel vector-autoregressive modeling.	25
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.	25
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach	24
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.	24
Causal relationships in longitudinal observational data: An integrative modeling approach.	24
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes	23
Beyond the hype: A simulation study evaluating the predictive performance of machine learning models in psychology.	23
Supplemental Material for Addressing Selective Reporting Bias in Meta-Analysis of Dependent Effect Sizes: A Tutorial in R	23
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error	22

Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling	22
Supplemental Material for From the 1940s to 2020s: A Review of the Current State of Forced-Choice Methodology	22
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.	21
Supplemental Material for Comparison of Latent Growth Curves: A Parameter Constancy Test	21
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox	21
A factored regression approach to modeling latent variable interactions and nonlinear effects.	19
Are factor scores measurement invariant?	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
Ricci curvature and the stream of thought.	19
Using synthetic data to improve the reproducibility of statistical results in psychological research.	19
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.	19
Interpretable machine learning for psychological research: Opportunities and pitfalls.	19
Estimating causal effects on psychological networks using item response theory.	18
Three-level vector autoregressive models.	18
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.	18
Scaling cognitive modeling to big data: A deep learning approach to studying individual differences in evidence accumulation model parameters.	18
Network accuracy across levels of analysis using stochastic block models.	18
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning	17
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	17
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.	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
Mediation analysis using Bayesian tree ensembles.	17
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets	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
How to develop, test, and extend multinomial processing tree models: A tutorial.	17
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.	16
Correcting bias in extreme groups design using a missing data approach.	16
Tutorial: Artificial neural networks to analyze single-case experimental designs.	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
Supplemental Material for A Time-Varying Interaction Map Approach for Longitudinal Assessments	16
A tutorial on bayesian networks for psychopathology researchers.	15
Leveraging lavaan for iterated conditional expectations: A streamlined parametric g-formula.	15
Unidim: An index of scale homogeneity and unidimensionality.	15
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.	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
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects	15
Supplemental Material for Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models	14
Estimating ordinal factor analysis and item response theory models: A comparison of full- and limited-information techniques.	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
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.	14
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.	13
Prior sensitivity of null hypothesis Bayesian testing.	13
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.	13
A two-stage approach to account for measurement error when using empirical Bayes estimates of random slopes.	13
Bayesian approaches to designing replication studies.	13
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models.	13
Identifying careless responding in ecological momentary assessment: Inconsistent signals from different detection methods in the WARN-D Data.	13
Local minima and factor rotations in exploratory factor analysis.	12
Coefficient of agreement between two raters corrected for category prevalence: Alternative to kappa.	12
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors	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 Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators	12
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	12
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.	12
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)	12
Acknowledgment of Ad Hoc Reviewers	12
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models	11
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.	11
Improving inferential analyses predata and postdata.	11
Modeling individual differences in the timing of change onset and offset.	11
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).	11
Machine learning for propensity score estimation: A systematic review and reporting guidelines.	11
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.	11
Factorization of person response profiles to identify summative profiles carrying central response patterns.	11
Supplemental Material for Testing Bipolarity	11
Supplemental Material for Causal Mediation Analysis With One or Multiple Mediators: A Comparative Study	11
Extending bias adjustments for R-squared to multilevel models.	11
Supplemental Material for A Causal Framework for Explaining Effect Heterogeneity in Conceptual Replications	10
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.	10
Assessing the fitting propensity of factor models.	10
Supplemental Material for Causal Relationships in Longitudinal Observational Data: An Integrative Modeling Approach	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
A primer on equivalence (negligible effect) testing.	10
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis	10
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.	10
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists	10
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.	10
A comparison of the predictive performance of continuous and class-based latent trait models.	10

Ten frequently asked questions about latent transition analysis.	10
A tutorial on assessing statistical power and determining sample size for structural equation models.	10
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.	9
A deep learning method for comparing Bayesian hierarchical models.	9
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.	9
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.	9
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods	9
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.	9
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.	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
A simple Monte Carlo method for estimating power in multilevel designs.	9
Seeing the impossible: Visualizing latent variable models with flexplavaan.	9