Advances in Methods and Practices in Psychological Science

Papers
(The TQCC of Advances in Methods and Practices in Psychological Science is 18. 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
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them281
Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial195
Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates194
Simulation-Based Power Analysis for Factorial Analysis of Variance Designs169
An Introduction to Linear Mixed-Effects Modeling in R140
Visualization of Brain Statistics With R Packages ggseg and ggseg3d138
A Conceptual Introduction to Bayesian Model Averaging123
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports118
Hidden Invalidity Among 15 Commonly Used Measures in Social and Personality Psychology111
Cross-Validation: A Method Every Psychologist Should Know85
That’s a Lot to Process! Pitfalls of Popular Path Models58
Statistical Control Requires Causal Justification58
Analysis of Open Data and Computational Reproducibility in Registered Reports in Psychology55
Persons as Effect Sizes47
A Traveler’s Guide to the Multiverse: Promises, Pitfalls, and a Framework for the Evaluation of Analytic Decisions46
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 Tempora43
Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods42
Understanding Mixed-Effects Models Through Data Simulation41
Why the Cross-Lagged Panel Model Is Almost Never the Right Choice40
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability39
Crud (Re)Defined36
The Failings of Conventional Mediation Analysis and a Design-Based Alternative32
A Primer on Bayesian Model-Averaged Meta-Analysis29
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R29
Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)29
Justify Your Alpha: A Primer on Two Practical Approaches27
Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully23
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis23
A Causal Framework for Cross-Cultural Generalizability22
A Multilab Study of Bilingual Infants: Exploring the Preference for Infant-Directed Speech21
Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction20
Making Sense of Model Generalizability: A Tutorial on Cross-Validation in R and Shiny19
Precise Answers to Vague Questions: Issues With Interactions18
ManyClasses 1: Assessing the Generalizable Effect of Immediate Feedback Versus Delayed Feedback Across Many College Classes18
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment18
These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis18
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