Advances in Methods and Practices in Psychological Science

Papers
(The TQCC of Advances in Methods and Practices in Psychological Science is 15. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them300
Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates218
Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial215
Simulation-Based Power Analysis for Factorial Analysis of Variance Designs194
An Introduction to Linear Mixed-Effects Modeling in R163
Visualization of Brain Statistics With R Packages ggseg and ggseg3d156
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports123
That’s a Lot to Process! Pitfalls of Popular Path Models73
Statistical Control Requires Causal Justification69
Why the Cross-Lagged Panel Model Is Almost Never the Right Choice51
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 Tempora51
A Traveler’s Guide to the Multiverse: Promises, Pitfalls, and a Framework for the Evaluation of Analytic Decisions51
Persons as Effect Sizes51
Understanding Mixed-Effects Models Through Data Simulation47
Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods46
The Failings of Conventional Mediation Analysis and a Design-Based Alternative42
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability39
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R34
Justify Your Alpha: A Primer on Two Practical Approaches33
A Primer on Bayesian Model-Averaged Meta-Analysis31
A Causal Framework for Cross-Cultural Generalizability29
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis28
How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction27
Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction25
Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully24
A Multilab Study of Bilingual Infants: Exploring the Preference for Infant-Directed Speech22
Precise Answers to Vague Questions: Issues With Interactions21
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment21
Summary Plots With Adjusted Error Bars: The superb Framework With an Implementation in R21
These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis20
ManyClasses 1: Assessing the Generalizable Effect of Immediate Feedback Versus Delayed Feedback Across Many College Classes20
Making Sense of Model Generalizability: A Tutorial on Cross-Validation in R and Shiny19
Psychologists Should Use Brunner-Munzel’s Instead of Mann-Whitney’s U Test as the Default Nonparametric Procedure17
Multilab Direct Replication of Flavell, Beach, and Chinsky (1966): Spontaneous Verbal Rehearsal in a Memory Task as a Function of Age15
Corrigendum: Evaluating Effect Size in Psychological Research: Sense and Nonsense15
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