Psychological Methods

Papers
(The TQCC of Psychological Methods is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-06-01 to 2026-06-01.)
ArticleCitations
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs961
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models509
Bayesian regularization in multiple-indicators multiple-causes models.349
Supplemental Material for Subgroup Discovery in Structural Equation Models301
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 Effect248
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study181
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
Causal inference for treatment effects in partially nested designs.46
Latent growth factors as predictors of distal outcomes.46
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models46
How to analyze visual data using zero-shot learning: An overview and tutorial.45
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.44
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.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 Tutorial39
Reporting standards for psychological network analyses in cross-sectional data.37
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.37
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.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 Size35
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 Models27
Supplemental Material for Variable Selection for Explaining Interindividual Heterogeneity in Longitudinal Growth Trajectories27
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 Estimation26
Supplemental Material for Iterated Community Detection in Psychological Networks26
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
Continuous-time structural equation model forests.25
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.24
Mixture multilevel vector-autoregressive modeling.24
Evaluating avoidable heterogeneity in exploratory factor analysis results.24
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
Causal relationships in longitudinal observational data: An integrative modeling approach.23
Supplemental Material for Comparison of Latent Growth Curves: A Parameter Constancy Test22
Supplemental Material for Cross-Lagged Panel Modeling With Binary and Ordinal Outcomes22
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error22
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach22
Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling22
Can cross-lagged panel modeling be relied on to establish cross-lagged effects? The case of contemporaneous and reciprocal effects.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 Paradox20
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 R18
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 From the 1940s to 2020s: A Review of the Current State of Forced-Choice Methodology17
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.17
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets17
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning17
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 Guideli17
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 Perspective17
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 Modwels16
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 Assessments16
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 Effects15
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
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
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 Utility14
Supplemental Material for Inferences and Effect Sizes for Direct, Indirect, and Total Effects in Continuous-Time Mediation Models14
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects14
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
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 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 Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators12
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 Regressors12
Local minima and factor rotations in exploratory factor analysis.12
Supplemental Material for VISTA-SSM: Varying and Irregular Sampling Time-Series Analysis via State-Space Models11
Supplemental Material for Causal Mediation Analysis With One or Multiple Mediators: A Comparative Study11
Improving inferential analyses predata and postdata.11
Acknowledgment of Ad Hoc Reviewers11
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 Variance11
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
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 Testing Bipolarity10
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists10
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 Approach10
Assessing the fitting propensity of factor models.10
Extending bias adjustments for R-squared to multilevel models.10
Supplemental Material for A Causal Framework for Explaining Effect Heterogeneity in Conceptual Replications9
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
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods9
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 Practice9
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 Analysis9
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
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