Psychological Methods

Papers
(The H4-Index of Psychological Methods is 31. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Comparing network structures on three aspects: A permutation test.219
Investigating the performance of exploratory graph analysis and traditional techniques to identify the number of latent factors: A simulation and tutorial.176
A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus.173
Effect size guidelines for cross-lagged effects.135
The fixed versus random effects debate and how it relates to centering in multilevel modeling.122
Evaluating meta-analytic methods to detect selective reporting in the presence of dependent effect sizes.109
Power contours: Optimising sample size and precision in experimental psychology and human neuroscience.100
A comparison of full information maximum likelihood and multiple imputation in structural equation modeling with missing data.100
Reporting standards for psychological network analyses in cross-sectional data.89
Meta-analytic structural equation modeling with moderating effects on SEM parameters.87
Dynamic fit index cutoffs for confirmatory factor analysis models.83
Clarifying causal mediation analysis for the applied researcher: Defining effects based on what we want to learn.71
Toward a principled Bayesian workflow in cognitive science.62
Which estimation method to choose in network psychometrics? Deriving guidelines for applied researchers.61
p-Hacking and publication bias interact to distort meta-analytic effect size estimates.60
A tutorial on assessing statistical power and determining sample size for structural equation models.52
Closed- and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.46
Managing validity versus reliability trade-offs in scale-building decisions.46
Composite reliability of multilevel data: It’s about observed scores and construct meanings.45
A tutorial on bayesian networks for psychopathology researchers.39
The Semantic Scale Network: An online tool to detect semantic overlap of psychological scales and prevent scale redundancies.37
What is a Bayes factor?37
Centering categorical predictors in multilevel models: Best practices and interpretation.36
Comparing Gaussian graphical models with the posterior predictive distribution and Bayesian model selection.35
Improving the assessment of measurement invariance: Using regularization to select anchor items and identify differential item functioning.35
Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.35
Estimating causal effects in linear regression models with observational data: The instrumental variables regression model.34
Do simple slopes follow-up tests lead us astray? Advancements in the visualization and reporting of interactions.32
Ten frequently asked questions about latent transition analysis.32
Modeling psychopathology: From data models to formal theories.32
An approach to structural equation modeling with both factors and components: Integrated generalized structured component analysis.31
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