Advances in Methods and Practices in Psychological Science

Papers
(The H4-Index of Advances in Methods and Practices in Psychological Science is 25. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them348
Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates247
Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial224
Simulation-Based Power Analysis for Factorial Analysis of Variance Designs219
An Introduction to Linear Mixed-Effects Modeling in R184
Visualization of Brain Statistics With R Packages ggseg and ggseg3d179
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports140
That’s a Lot to Process! Pitfalls of Popular Path Models90
Statistical Control Requires Causal Justification80
Why the Cross-Lagged Panel Model Is Almost Never the Right Choice75
A Traveler’s Guide to the Multiverse: Promises, Pitfalls, and a Framework for the Evaluation of Analytic Decisions55
Selection of the Number of Participants in Intensive Longitudinal Studies: A User-Friendly Shiny App and Tutorial for Performing Power Analysis in Multilevel Regression Models That Account for Tempora55
Understanding Mixed-Effects Models Through Data Simulation52
Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods51
The Failings of Conventional Mediation Analysis and a Design-Based Alternative46
How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction36
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R36
Justify Your Alpha: A Primer on Two Practical Approaches36
A Causal Framework for Cross-Cultural Generalizability34
These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis32
A Primer on Bayesian Model-Averaged Meta-Analysis31
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis30
A Multilab Study of Bilingual Infants: Exploring the Preference for Infant-Directed Speech26
Summary Plots With Adjusted Error Bars: The superb Framework With an Implementation in R26
Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction26
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment25
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