Psychological Methods

Papers
(The TQCC of Psychological Methods is 6. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Relative importance analysis in multiple mediator models.572
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs321
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models222
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.201
The accuracy of reliability coefficients: A reanalysis of existing simulations.197
Situational optimization function analysis: An ideal performance analysis inspired on Lewin’s equation.157
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.118
Multivariate analysis of covariance for heterogeneous and incomplete data.115
Correcting for collider effects and sample selection bias in psychological research.106
Supplemental Material for Subgroup Discovery in Structural Equation Models97
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.84
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect83
Estimating time-varying treatment effects in longitudinal studies.77
Bayesian regularization in multiple-indicators multiple-causes models.67
A simple recommendation for the analysis of matching data.64
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.54
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.52
Dynamic measurement invariance cutoffs for two-group fit index differences.52
Evaluation of inequality constrained hypotheses using a generalization of the AIC.50
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study50
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.50
Regression discontinuity designs in a latent variable framework.48
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.47
Subgroup discovery in structural equation models.47
Effect size guidelines for cross-lagged effects.44
Supplemental Material for Are Factor Scores Measurement Invariant?42
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.41
Modeling construct change over time amidst potential changes in construct measurement: A longitudinal moderated factor analysis approach.40
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.35
Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates34
Supplemental Material for The Influence of Autoregressive Relation Strength and Search Strategy on Directionality Recovery in Group Iterative Multiple Model Estimation34
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models32
Supplemental Material for Improved Confidence Intervals for Differences Between Standardized Effect Sizes32
Supplemental Material for Assessing an Alternative for “Negative Variance Components”: A Gentle Introduction to Bayesian Covariance Structure Modeling for Negative Associations Among Patients With Per32
Latent growth factors as predictors of distal outcomes.31
Improved confidence intervals for differences between standardized effect sizes.31
Causal inference for treatment effects in partially nested designs.29
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.28
Practical challenges and methodological flexibility in prior elicitation.27
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.26
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.25
Simulation studies for methodological research in psychology: A standardized template for planning, preregistration, and reporting.24
A practical guide to selecting and blending approaches for clustered data: Clustered errors, multilevel models, and fixed-effect models.23
Reporting standards for psychological network analyses in cross-sectional data.23
Percentage of variance accounted for in structural equation models: The rediscovery of the goodness of fit index.23
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.23
Improving hierarchical models of individual differences: An extension of Goldberg’s bass-ackward method.23
Better power by design: Permuted-subblock randomization boosts power in repeated-measures experiments.22
Reassessing the fitting propensity of factor models.22
Causal definitions versus casual estimation: Reply to Valente et al. (2022).22
Supplemental Material for New Computations for RMSEA and CFI Following FIML and TS Estimation With Missing Data22
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.22
The Bayesian reservoir model of psychological regulation.22
Who is and is not “average”? Random effects selection with spike-and-slab priors.22
Supplemental Material for The Receiver Operating Characteristic Area Under the Curve (or Mean Ridit) as an Effect Size21
Controlling for cohort effects in accelerated longitudinal designs using continuous- and discrete-time dynamic models.20
Supplemental Material for Model-Based Incremental Validity20
Network science in psychology.20
Using natural language processing and machine learning to replace human content coders.20
Statistical power and optimal design for randomized controlled trials investigating mediation effects.20
Estimating the number of factors in exploratory factor analysis via out-of-sample prediction errors.20
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.20
Supplemental Material for Comparing Network Structures on Three Aspects: A Permutation Test19
Invited commentary: Comparing the independent segments procedure with group sequential designs.19
Supplemental Material for Workflow Techniques for the Robust Use of Bayes Factors19
Supplemental Material for Multilevel Meta-Analysis of Single-Case Experimental Designs Using Robust Variance Estimation19
Causal relationships in longitudinal observational data: An integrative modeling approach.18
The potential of preregistration in psychology: Assessing preregistration producibility and preregistration-study consistency.18
Generalized Gaussian signal detection theory: A unified signal detection framework for confidence data analysis.18
Supplemental Material for Iterated Community Detection in Psychological Networks18
Mixture multilevel vector-autoregressive modeling.18
Cross-level covariance approach to the disaggregation of between-person effect and within-person effect.18
Assessing measurement invariance with moderated nonlinear factor analysis using the R package OpenMx.17
What are the mathematical bounds for coefficient α?17
Evaluating avoidable heterogeneity in exploratory factor analysis results.17
Continuous-time structural equation model forests.17
Supplemental Material for A Primer on Synthesizing Individual Participant Data Obtained From Complex Sampling Surveys: A Two-Stage IPD Meta-Analysis Approach16
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 Outcomes16
Identification of careless responding in ecological momentary assessment research: From posthoc analyses to real-time data monitoring.16
Supplemental Material for Interactions of Scores Derived From Two Groups of Variables: Alternating Lasso Regularization Avoids Overfitting and Finds Interpretable Scores15
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
Are factor scores measurement invariant?15
Supplemental Material for The Microrandomized Trial for Developing Digital Interventions: Experimental Design and Data Analysis Considerations15
Supplemental Material for A Tutorial on Using Generative Models to Advance Psychological Science: Lessons From the Reliability Paradox14
Extending the actor-partner interdependence model to accommodate multivariate dyadic data using latent variables.14
Modeling categorical time-to-event data: The example of social interaction dynamics captured with event-contingent experience sampling methods.14
Estimating causal effects on psychological networks using item response theory.14
Using synthetic data to improve the reproducibility of statistical results in psychological research.14
Supplemental Material for Improved Estimation of Autoregressive Models Through Contextual Impulses and Robust Modeling14
Interpretable machine learning for psychological research: Opportunities and pitfalls.13
Tutorial: Artificial neural networks to analyze single-case experimental designs.13
Aggregating evidence for a central theory from diverse studies using the generalized order-restricted information criterion.13
Correcting bias in extreme groups design using a missing data approach.13
Supplemental Material for Harvesting Heterogeneity: Selective Expertise Versus Machine Learning13
Supplemental Material for Pooling Methods for Likelihood Ratio Tests in Multiply Imputed Data Sets13
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 Guideli13
Supplemental Material for A True Score Imputation Method to Account for Psychometric Measurement Error13
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 Perspective13
How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.13
Reassessment of innovative methods to determine the number of factors: A simulation-based comparison of exploratory graph analysis and next eigenvalue sufficiency test.13
Mediation analysis using Bayesian tree ensembles.12
Supplemental Material for Aberrant Distortion of Variance Components in Multilevel Models Under Conflation of Level-Specific Effects12
How to develop, test, and extend multinomial processing tree models: A tutorial.12
Unidim: An index of scale homogeneity and unidimensionality.12
Supplemental Material for Evaluating Classification Performance: Receiver Operating Characteristic and Expected Utility12
A tutorial on bayesian networks for psychopathology researchers.12
Supplemental Material for Can Cross-Lagged Panel Modeling Be Relied on to Establish Cross-Lagged Effects? The Case of Contemporaneous and Reciprocal Effects12
Harnessing the power of excess statistical significance: Weighted and iterative least squares.11
The relationship between the phi coefficient and the unidimensionality index H: Improving psychological scaling from the ground up.11
Spectral and cross-spectral analysis—A tutorial for psychologists and social scientists.11
Estimating knots and their association in parallel bilinear spline growth curve models in the framework of individual measurement occasions.11
Local minima and factor rotations in exploratory factor analysis.10
The sum of all fears: Comparing networks based on symptom sum-scores.10
The reproducibility of statistical results in psychological research: An investigation using unpublished raw data.10
Bayesian approaches to designing replication studies.10
Multilevel meta-analysis of single-case experimental designs using robust variance estimation.10
Supplemental Material for Bayesian Inference for Evidence Accumulation Models With Regressors9
Extending mixture of experts model to investigate heterogeneity of trajectories: When, where, and how to add which covariates.9
Thinking clearly about time-invariant confounders in cross-lagged panel models: A guide for choosing a statistical model from a causal inference perspective.9
Supplemental Material for Reliability and Omega Hierarchical in Multidimensional Data: A Comparison of Various Estimators9
Factorization of person response profiles to identify summative profiles carrying central response patterns.9
A tutorial on using generative models to advance psychological science: Lessons from the reliability paradox.9
Supplemental Material for Coefficients of Determination Measured on the Same Scale as the Outcome: Alternatives to R2 That Use Standard Deviations Instead of Explained Variance9
How do unobserved confounding mediators and measurement error impact estimated mediation effects and corresponding statistical inferences? Introducing the R package ConMed for sensitivity analysis.9
Acknowledgment of Ad Hoc Reviewers9
Supplemental Material for Factor Analyzing Ordinal Items Requires Substantive Knowledge of Response Marginals9
Improving inferential analyses predata and postdata.9
Prior sensitivity of null hypothesis Bayesian testing.9
Supplemental Material for Reconsideration of the Type I Error Rate for Psychological Science in the Era of Replication9
Supplemental Material for The Use of Large Language Models for Qualitative Research: The Deep Computational Text Analyser (DECOTA)9
Supplemental Material for Testing Bipolarity8
Model specification for nonlinearity and heterogeneity of regression in randomized pretest posttest studies: Practical solutions for missing data.8
Supplemental Material for The Henseler-Ogasawara Specification of Composites in Structural Equation Modeling: A Tutorial8
Detecting mediation effects with the Bayes factor: Performance evaluation and tools for sample size determination.8
Supplemental Material for A Causal Research Pipeline and Tutorial for Psychologists and Social Scientists8
Modeling individual differences in the timing of change onset and offset.8
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 Approach8
Unlocking nonlinear dynamics and multistability from intensive longitudinal data: A novel method.7
Updated guidelines on selecting an intraclass correlation coefficient for interrater reliability, with applications to incomplete observational designs.7
A tutorial on assessing statistical power and determining sample size for structural equation models.7
Supplemental Material for Which Estimation Method to Choose in Network Psychometrics? Deriving Guidelines for Applied Researchers7
Assessing the fitting propensity of factor models.7
Semantic network analysis (SemNA): A tutorial on preprocessing, estimating, and analyzing semantic networks.7
Supplemental Material for A Comparison of Random Forest-Based Missing Imputation Methods for Covariates in Propensity Score Analysis7
Ten frequently asked questions about latent transition analysis.7
Dyadic analysis and the reciprocal one-with-many model: Extending the study of interpersonal processes with intensive longitudinal data.7
Misspecification and unreliable interpretations in psychology and social science.7
Supplemental Material for Modeling Categorical Time-to-Event Data: The Example of Social Interaction Dynamics Captured With Event-Contingent Experience Sampling Methods7
Supplemental Material for Latent Growth Mixture Models as Latent Variable Multigroup Factor Models: Comment on McNeish et al. (2023)6
Curbing curbstoning: Distributional methods to detect survey data fabrication by third-parties.6
Disentangling effect size heterogeneity in meta-analysis: A latent mixture approach.6
Seeing the impossible: Visualizing latent variable models with flexplavaan.6
The case for the curve: Parametric regression with second- and third-order polynomial functions of predictors should be routine.6
A deep learning method for comparing Bayesian hierarchical models.6
Robust Bayesian meta-regression: Model-averaged moderation analysis in the presence of publication bias.6
Supplemental Material for Scoring Assessments in Multisite Randomized Control Trials: Examining the Sensitivity of Treatment Effect Estimates to Measurement Choices6
Extending growth mixture model to assess heterogeneity in joint development with piecewise linear trajectories in the framework of individual measurement occasions.6
A revised and expanded taxonomy for understanding heterogeneity in research and reporting practices.6
Modeling careless responding in ambulatory assessment studies using multilevel latent class analysis: Factors influencing careless responding.6
A posterior expected value approach to decision-making in the multiphase optimization strategy for intervention science.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
Supplemental Material for Estimation of Planned and Unplanned Missing Individual Scores in Longitudinal Designs Using Continuous-Time State-Space Models6
Linear mixed models and latent growth curve models for group comparison studies contaminated by outliers.6
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.6
Supplemental Material for Evaluating Statistical Fit of Confirmatory Bifactor Models: Updated Recommendations and a Review of Current Practice6
A simple Monte Carlo method for estimating power in multilevel designs.6
Lagged multidimensional recurrence quantification analysis for determining leader–follower relationships within multidimensional time series.6
Information theory, machine learning, and Bayesian networks in the analysis of dichotomous and Likert responses for questionnaire psychometric validation.6
Analyzing discontinuities in longitudinal count data: A multilevel generalized linear mixed model.6
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