OOIR: Observatory of International Research

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 2020-04-01 to 2024-04-01.)

Article	Citations
Measurement Schmeasurement: Questionable Measurement Practices and How to Avoid Them	281
Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial	195
Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates	194
Simulation-Based Power Analysis for Factorial Analysis of Variance Designs	169
An Introduction to Linear Mixed-Effects Modeling in R	140
Visualization of Brain Statistics With R Packages ggseg and ggseg3d	138
A Conceptual Introduction to Bayesian Model Averaging	123
An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports	118
Hidden Invalidity Among 15 Commonly Used Measures in Social and Personality Psychology	111
Cross-Validation: A Method Every Psychologist Should Know	85
That’s a Lot to Process! Pitfalls of Popular Path Models	58
Statistical Control Requires Causal Justification	58
Analysis of Open Data and Computational Reproducibility in Registered Reports in Psychology	55
Persons as Effect Sizes	47
A Traveler’s Guide to the Multiverse: Promises, Pitfalls, and a Framework for the Evaluation of Analytic Decisions	46
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 Tempora	43
Making the Black Box Transparent: A Template and Tutorial for Registration of Studies Using Experience-Sampling Methods	42
Understanding Mixed-Effects Models Through Data Simulation	41
Why the Cross-Lagged Panel Model Is Almost Never the Right Choice	40
Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability	39
Crud (Re)Defined	36
The Failings of Conventional Mediation Analysis and a Design-Based Alternative	32
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R	29
Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)	29
A Primer on Bayesian Model-Averaged Meta-Analysis	29

Justify Your Alpha: A Primer on Two Practical Approaches	27
Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully	23
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis	23
A Causal Framework for Cross-Cultural Generalizability	22
A Multilab Study of Bilingual Infants: Exploring the Preference for Infant-Directed Speech	21
Putting Psychology to the Test: Rethinking Model Evaluation Through Benchmarking and Prediction	20
Making Sense of Model Generalizability: A Tutorial on Cross-Validation in R and Shiny	19
ManyClasses 1: Assessing the Generalizable Effect of Immediate Feedback Versus Delayed Feedback Across Many College Classes	18
A Conceptual Framework for Investigating and Mitigating Machine-Learning Measurement Bias (MLMB) in Psychological Assessment	18
These Are Not the Effects You Are Looking for: Causality and the Within-/Between-Persons Distinction in Longitudinal Data Analysis	18
Precise Answers to Vague Questions: Issues With Interactions	18
Average Power: A Cautionary Note	16
Psychologists Should Use Brunner-Munzel’s Instead of Mann-Whitney’s U Test as the Default Nonparametric Procedure	15
Multilab Direct Replication of Flavell, Beach, and Chinsky (1966): Spontaneous Verbal Rehearsal in a Memory Task as a Function of Age	15
How Many Participants Do I Need to Test an Interaction? Conducting an Appropriate Power Analysis and Achieving Sufficient Power to Detect an Interaction	14
Summary Plots With Adjusted Error Bars: The superb Framework With an Implementation in R	14
Corrigendum: Evaluating Effect Size in Psychological Research: Sense and Nonsense	14
Caution, Preprint! Brief Explanations Allow Nonscientists to Differentiate Between Preprints and Peer-Reviewed Journal Articles	12
Assessing Change in Intervention Research: The Benefits of Composite Outcomes	11
Citation Patterns Following a Strongly Contradictory Replication Result: Four Case Studies From Psychology	11
Many Labs 5: Registered Replication of Vohs and Schooler (2008), Experiment 1	10
Simulation Studies as a Tool to Understand Bayes Factors	10
Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP	10
Commentary on Hussey and Hughes (2020): Hidden Invalidity Among 15 Commonly Used Measures in Social and Personality Psychology	9
Hybrid Experimental Designs for Intervention Development: What, Why, and How	9
Improving Transparency, Falsifiability, and Rigor by Making Hypothesis Tests Machine-Readable	9
A Guide to Posting and Managing Preprints	8
Rock the MIC: The Matrix of Implied Causation, a Tool for Experimental Design and Model Checking	8
Analyzing Individual Differences in Intervention-Related Changes	8
Data Visualization Using R for Researchers Who Do Not Use R	8
SampleSizePlanner: A Tool to Estimate and Justify Sample Size for Two-Group Studies	8
Doing Better Data Visualization	8
A Cautionary Note on Estimating Effect Size	7
Analyzing GPS Data for Psychological Research: A Tutorial	7
Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set	7
A Guide for Calculating Study-Level Statistical Power for Meta-Analyses	7
The Unbearable Lightness of Attentional Cuing by Symbolic Magnitude: Commentary on the Registered Replication Report by Colling et al.	6
Australian and Italian Psychologists’ View of Replication	6
Best Practices in Supervised Machine Learning: A Tutorial for Psychologists	6
Leveraging Containers for Reproducible Psychological Research	6
Experiment-Wise Type I Error Control: A Focus on 2 × 2 Designs	6
Boundary Conditions for the Practical Importance of Small Effects in Long Runs: A Comment on Funder and Ozer (2019)	6
A Primer on Structural Equation Model Diagrams and Directed Acyclic Graphs: When and How to Use Each in Psychological and Epidemiological Research	5
Many Labs 5: Registered Replication of Albarracín et al. (2008), Experiment 5	5
Evaluating Response Shift in Statistical Mediation Analysis	5
Many Labs 5: Registered Replication of Payne, Burkley, and Stokes (2008), Study 4	5