Advances in Methods and Practices in Psychological Science

Papers
(The median citation count of Advances in Methods and Practices in Psychological Science is 5. 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
Precise Answers to Vague Questions: Issues With Interactions24
Making Sense of Model Generalizability: A Tutorial on Cross-Validation in R and Shiny21
ManyClasses 1: Assessing the Generalizable Effect of Immediate Feedback Versus Delayed Feedback Across Many College Classes21
Psychologists Should Use Brunner-Munzel’s Instead of Mann-Whitney’s U Test as the Default Nonparametric Procedure20
Multilab Direct Replication of Flavell, Beach, and Chinsky (1966): Spontaneous Verbal Rehearsal in a Memory Task as a Function of Age17
Caution, Preprint! Brief Explanations Allow Nonscientists to Differentiate Between Preprints and Peer-Reviewed Journal Articles17
A Guide to Posting and Managing Preprints17
Selecting the Number and Labels of Topics in Topic Modeling: A Tutorial17
Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP16
Citation Patterns Following a Strongly Contradictory Replication Result: Four Case Studies From Psychology16
Tutorial: Power Analyses for Interaction Effects in Cross-Sectional Regressions16
Best Practices in Supervised Machine Learning: A Tutorial for Psychologists15
Corrigendum: Evaluating Effect Size in Psychological Research: Sense and Nonsense14
Data Visualization Using R for Researchers Who Do Not Use R14
Assessing Change in Intervention Research: The Benefits of Composite Outcomes13
A Primer on Structural Equation Model Diagrams and Directed Acyclic Graphs: When and How to Use Each in Psychological and Epidemiological Research12
Simulation Studies as a Tool to Understand Bayes Factors12
Improving Transparency, Falsifiability, and Rigor by Making Hypothesis Tests Machine-Readable12
Analyzing GPS Data for Psychological Research: A Tutorial11
Best Laid Plans: A Guide to Reporting Preregistration Deviations11
Hybrid Experimental Designs for Intervention Development: What, Why, and How10
Psychology Is a Property of Persons, Not Averages or Distributions: Confronting the Group-to-Person Generalizability Problem in Experimental Psychology9
SampleSizePlanner: A Tool to Estimate and Justify Sample Size for Two-Group Studies9
Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set9
Doing Better Data Visualization9
Analyzing Individual Differences in Intervention-Related Changes9
A Guide for Calculating Study-Level Statistical Power for Meta-Analyses9
Beyond Random Effects: When Small-Study Findings Are More Heterogeneous8
A Cautionary Note on Estimating Effect Size8
Using Market-Research Panels for Behavioral Science: An Overview and Tutorial8
Bayesian Analysis of Cross-Sectional Networks: A Tutorial in R and JASP7
Australian and Italian Psychologists’ View of Replication6
Experiment-Wise Type I Error Control: A Focus on 2 × 2 Designs6
Evaluating Response Shift in Statistical Mediation Analysis6
Selective Hypothesis Reporting in Psychology: Comparing Preregistrations and Corresponding Publications6
A Practical Guide to Conversation Research: How to Study What People Say to Each Other5
Leveraging Containers for Reproducible Psychological Research5
How to Safely Reassess Variability and Adapt Sample Size? A Primer for the Independent Samples t Test5
iCatcher+: Robust and Automated Annotation of Infants’ and Young Children’s Gaze Behavior From Videos Collected in Laboratory, Field, and Online Studies5
Journal N-Pact Factors From 2011 to 2019: Evaluating the Quality of Social/Personality Journals With Respect to Sample Size and Statistical Power5
A Tutorial on Causal Inference in Longitudinal Data With Time-Varying Confounding Using G-Estimation5
Conducting Research With People in Lower-Socioeconomic-Status Contexts5
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