Psychological Methods

Papers
(The H4-Index of Psychological Methods is 34. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Relative importance analysis in multiple mediator models.739
Supplemental Material for Causal Inference for Treatment Effects in Partially Nested Designs403
Supplemental Material for Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models275
Supplemental Material for Subgroup Discovery in Structural Equation Models239
A simple recommendation for the analysis of matching data.204
Moving from exploratory to confirmatory network analysis: An evaluation of structural equation modeling fit indices and cutoff values in network psychometrics.179
Supplemental Material for Cross-Level Covariance Approach to the Disaggregation of Between-Person Effect and Within-Person Effect142
Supplemental Material for Why the Use of Segmented Regression Analysis to Explore Change in Relations Between Variables Is Problematic: A Simulation Study136
Subgroup discovery in structural equation models.121
Waldian t tests: Sequential Bayesian t tests with controlled error probabilities.101
Multiple imputation of missing data in large studies with many variables: A fully conditional specification approach using partial least squares.96
Using copulas to enable causal inference from nonexperimental data: Tutorial and simulation studies.90
Dynamic measurement invariance cutoffs for two-group fit index differences.81
The accuracy of reliability coefficients: A reanalysis of existing simulations.78
Correcting for collider effects and sample selection bias in psychological research.71
Bayesian regularization in multiple-indicators multiple-causes models.66
Multivariate analysis of covariance for heterogeneous and incomplete data.63
Regression discontinuity designs in a latent variable framework.63
How survey scoring decisions can influence your study’s results: A trip through the IRT looking glass.63
Evaluating statistical fit of confirmatory bifactor models: Updated recommendations and a review of current practice.59
The influence of autoregressive relation strength and search strategy on directionality recovery in group iterative multiple model estimation.57
Estimating time-varying treatment effects in longitudinal studies.57
Effect size guidelines for cross-lagged effects.55
Supplemental Material for Are Factor Scores Measurement Invariant?54
Supplemental Material for Extending Mixture of Experts Model to Investigate Heterogeneity of Trajectories: When, Where, and How to Add Which Covariates48
Supplemental Material for Improved Confidence Intervals for Differences Between Standardized Effect Sizes48
Supplemental Material for To Detrend, or Not to Detrend, That Is the Question? The Effects of Detrending on Cross-Lagged Effects in Panel Models46
Improved confidence intervals for differences between standardized effect sizes.40
An alternative framework for nonexperimental cross-sectional mediation studies: Associational variable analysis.39
How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.38
How to analyze visual data using zero-shot learning: An overview and tutorial.38
Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.37
Is exploratory factor analysis always to be preferred? A systematic comparison of factor analytic techniques throughout the confirmatory–exploratory continuum.35
Practical challenges and methodological flexibility in prior elicitation.35
Causal inference for treatment effects in partially nested designs.34
Estimating curvilinear time-varying treatment effects: Combining g-estimation of structural nested mean models with time-varying effect models for longitudinal causal inference.34
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