Advances in Methods and Practices in Psychological Science

(The TQCC of Advances in Methods and Practices in Psychological Science is 17. 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 2020-06-01 to 2024-06-01.)
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them297
Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates215
Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial211
Simulation-Based Power Analysis for Factorial Analysis of Variance Designs185
An Introduction to Linear Mixed-Effects Modeling in R157
Visualization of Brain Statistics With R Packages ggseg and ggseg3d148
A Conceptual Introduction to Bayesian Model Averaging137
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports123
That’s a Lot to Process! Pitfalls of Popular Path Models71
Statistical Control Requires Causal Justification65
Persons as Effect Sizes51
Why the Cross-Lagged Panel Model Is Almost Never the Right Choice50
A Traveler’s Guide to the Multiverse: Promises, Pitfalls, and a Framework for the Evaluation of Analytic Decisions50
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 Tempora48
Understanding Mixed-Effects Models Through Data Simulation46
Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods45
The Failings of Conventional Mediation Analysis and a Design-Based Alternative41
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability39
Crud (Re)Defined36
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R33
Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)31
Justify Your Alpha: A Primer on Two Practical Approaches30
A Primer on Bayesian Model-Averaged Meta-Analysis29
A Causal Framework for Cross-Cultural Generalizability28
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis27
Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully24
How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction24
Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction23
A Multilab Study of Bilingual Infants: Exploring the Preference for Infant-Directed Speech22
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 Classes19
Making Sense of Model Generalizability: A Tutorial on Cross-Validation in R and Shiny19
Precise Answers to Vague Questions: Issues With Interactions19
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment18
Summary Plots With Adjusted Error Bars: The superb Framework With an Implementation in R17