0000-0003-1596-1034
Calibrating the scientific ecosystem through meta-research
clearexciting
A Good check on the Bayes factor
Testing Conditional Independence in Psychometric Networks: An Analysis of Three Bayesian Methods
Truncating the Likelihood Allows Outlier Exclusion Without Overestimating the Evidence in the Bayes Factor t-Test
Increasing Efficiency in Stratified Audit Sampling via Bayesian Hierarchical Modeling
Simplicity in Bayesian Nested-Model Comparisons: Popper's Disagreement with Wrinch and Jeffreys Revisited
Practical implications of equating equivalence tests: Reply to Campbell and Gustafson (2022).
Preregistration of psychology meta-analyses: A cross-sectional study of prevalence and practice
Footprint of publication selection bias on meta‐analyses in medicine, environmental sciences, psychology, and economics
Introducing Synchronous Robustness Reports: Guidelines for Journals
A Good Check on the Bayes Factor
Power priors for replication studies
Exploring open science practices in behavioural public policy research
“This behavior strikes us as ideal”: assessment and anticipations of Huisman (2022)
Prevalence, Patterns, and Predictors of Paranormal Beliefs in the Netherlands: A Several-Analysts Approach
Evidential Calibration of Confidence Intervals
Correct Conclusions from Fallible Medical Tests: A Tutorial with JASP
Accessible and Sustainable Statistics with JASP
Robust Bayesian Meta-Regression — Model-Averaged Moderation Analysis in the Presence of Publication Bias
Facing the Unknown Unknowns of Data Analysis
Many-analysts religion project: reflection and conclusion
Improving Statistical Analysis in Team Science: The Case of a Bayesian Multiverse of Many Labs 4
Meta-analyses in psychology often overestimate evidence for and size of effects
Visualizing the Equation for the Sample Correlation Coefficient
Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor.
Analytic Posterior Distribution and Bayes Factor for Pearson Partial Correlations
Inclusion Bayes factors for mixed hierarchical diffusion decision models.
Exploring Open Science Practices in Behavioural Public Policy Research
The Benefits, Barriers, and Risks of Big-Team Science
Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP
Evaluating multinomial order restrictions with bridge sampling.
Augmenting Predictive Models in Forensic Psychiatry with Cultural Consensus Theory
Transparency Guidance for ChatGPT Usage in Scientific Writing
Bayesian Sample Size Planning for Developmental Studies
Robust Bayesian meta-analysis: Addressing publication bias with model-averaging.
Reducing bias, increasing transparency and calibrating confidence with preregistration
Bayesian Analysis of Cross-sectional Networks: A Tutorial in R and JASP
A general approximation to nested Bayes factors with informed priors
Comparing Analysis Blinding With Preregistration in the Many-Analysts Religion Project
History and nature of the Jeffreys–Lindley paradox
Normalized power priors always discount historical data
Robust Bayesian meta‐analysis: Model‐averaging across complementary publication bias adjustment methods
“This Behavior Strikes us as Ideal”: Assessment and Anticipations of Huisman (2022)
A Two-Stage Bayesian Sequential Assessment of Exploratory Hypotheses
Bayes Factors for Mixed Models: A Discussion
Model-Averaged Bayesian t-Tests
How to Incorporate Audit Information into the Statistical Model: Bayesian Generalized Linear Modeling for Audit Sampling
No evidence for nudging after adjusting for publication bias
Interim Design Analysis Using Bayes Factor Forecasts
Bayesian Estimation of Single-Test Reliability Coefficients
A survey on how preregistration affects the research workflow: better science but more work
Adjusting for Publication Bias in JASP and R: Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis
A Many-Analysts Approach to the Relation Between Religiosity and Well-being: The Dataset
Bayesian Repeated-Measures ANOVA: An Updated Methodology Implemented in JASP
Meta-Analyses in Psychology Often Overestimate Evidence for and Size of Effects
Advantages masquerading as “issues” in Bayesian hypothesis testing: A commentary on Tendeiro and Kiers (2019).
Measure-Theoretic Musings Cannot Salvage the Full Bayesian Significance Test as a Measure of Evidence
Bayes Factors for Mixed Models: Perspective on Responses
Practical Implications of Equating Equivalence Tests: Reply to Campbell and Gustafson (2022)
Many-Analysts Religion Project: Reflection and Conclusion
Practical challenges and methodological flexibility in prior elicitation.
The Support Interval
An Impartial Bayesian Hypothesis Test for Audit Sampling
A two-stage Bayesian sequential assessment of exploratory hypotheses
Adjusting for Publication Bias Reveals That Evidence for and Size of Construal Level Theory Effects is Substantially Overestimated
Adjusting for Publication Bias Reveals Mixed Evidence for the Impact of Cash Transfers on Subjective Well-Being and Mental Health
Approximate Objective Bayes Factors From P-Values and Sample Size: The 3p√n Rule
Evidence of Absence in the D-HEALTH Trial: A Bayesian Reanalysis
A Many-Analysts Approach to the Relation Between Religiosity and Well-being
Comparing Analysis Blinding With Preregistration In The Many-Analysts Religion Project
Bayesian model‐averaged meta‐analysis in medicine
A survey on how preregistration affects the research workflow: Better science but more work
Seven steps toward more transparency in statistical practice
A Bayesian Analysis of the Molnupiravir Trial Data
A Tutorial on Bayesian Model-Averaged Meta-Analysis in JASP
贝叶斯思维儿童读本
Flexible yet fair: blinding analyses in experimental psychology
Extraordinary claims, extraordinary evidence? A discussion
Behavioural and neural indices of perceptual decision-making in autistic children during visual motion tasks
The Bayesian Approach to Audit Evidence: Quantifying Statistical Evidence using the Bayes Factor
Inclusion Bayes Factors for Mixed Hierarchical Diffusion Decision Models
A Primer on Bayesian Model-Averaged Meta-Analysis
Robust Bayesian Meta-Analysis: Model-Averaging Across Complementary Publication Bias Adjustment Methods
A Tutorial on Bayesian Inference for the A/B Test with R and JASP
Visual motion and decision-making in dyslexia: Evidence of reduced accumulation of sensory evidence and related neural dynamics
Dinozorlar, Kurabiyeler ve Bayesçi Düşünce
Making Sense of Uncertainty in the Science Classroom: A Bayesian Approach
Reducing bias, increasing transparency, and calibrating confidence with preregistration
multibridge: An R Package To Evaluate Informed Hypotheses in Binomial and Multinomial Models
A Tutorial on Bayesian Single-Test Reliability Analysis with JASP
Seven Steps Toward More Transparency in Statistical Practice
Bayes Factors for Mixed Models
Are dishonest politicians more likely to be reelected? A Bayesian view
A Multi-Site Preregistered Paradigmatic Test of the Ego Depletion Effect
Expert Agreement in Prior Elicitation and its Effects on Bayesian Inference
Extraordinary Claims, Extraordinary Evidence? A Discussion
A Critical Evaluation of the FBST ev for Bayesian Hypothesis Testing
A Cautionary Note on Estimating Effect Size
A Bayesian Perspective on Severity: Risky Predictions and Specific Hypotheses
Bayesianisches Denken mit Dinosauriern
Overwhelming Evidence for Vaccine Efficacy in the Pfizer Trial: An Interim Bayesian Analysis
Decisions About Equivalence: A Comparison of TOST, HDI-ROPE, and the Bayes Factor
Defiant Denial is Self-Defeating
Bayesiaans Denken voor Peuters
Efficiency in Sequential Testing: Comparing the Sequential Probability Ratio Test and the Sequential Bayes Factor Test
Author Correction: Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence
Bayesian Thinking for Toddlers
Adjusting for Publication Bias in JASP & R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis
Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully
Evaluating Multinomial Order Restrictions with Bridge Sampling
Bayesian Scepsis About SWEPIS: Quantifying the Evidence That Early Induction of Labour Prevents Perinatal Deaths
Using Bayes factor hypothesis testing in neuroscience to establish evidence of absence
Robust Bayesian Meta-Analysis: Addressing Publication Bias with Model-Averaging
A Conceptual Introduction to Bayesian Model Averaging
The Benefits, Barriers, and Risks of Big Team Science
Cultural Consensus Theory for the Evaluation of Patients’ Mental Health Scores in Psychiatric Detention Centers
Priors in a Bayesian Audit: How Integration of Existing Information into the Prior Distribution Can Improve Audit Transparency and Efficiency
Hydroxychloroquine in Patients with COVID-19 (Chen et al., 2020): Absence of Evidence, Not Evidence of Absence
Bayesian inference in numerical cognition: A tutorial using JASP
A Skeptical Eye on Psi
Perceptual decision-making in children: Age-related differences and EEG correlates
Discussion points for Bayesian inference
Practical Challenges and Methodological Flexibility in Prior Elicitation
Compensatory Control and Belief in God: A Registered Replication Report Across Two Countries
Laypeople Can Predict Which Social Science Studies Replicate
A conceptual introduction to Bayesian model averaging
Advantages Masquerading as ‘Issues’ in Bayesian Hypothesis Testing: A Commentary on Tendeiro and Kiers (2019)
Flexible Yet Fair: Blinding Analyses in Experimental Psychology
Rejoinder: More Limitations of Bayesian Leave-One-Out Cross-Validation
Another Paradox? A Comment on Lindley (1997)
The Effect of Preregistration on Trust in Empirical Research Findings
Bayesian Reanalyses From Summary Statistics: A Guide for Academic Consumers
Quantifying Support for the Null Hypothesis in Psychology: An Empirical Investigation
Surprise About Sensory Event Timing Drives Cortical Transients in the Beta Frequency Band
The Creativity-Verification Cycle in Psychological Science: New Methods to Combat Old Idols
Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection
On the Importance of Avoiding Shortcuts in Applying Cognitive Models to Hierarchical Data
Bayesian reanalysis of null results reported in Medicine: Strong yet variable evidence for the absence of treatment effects
Do Researchers Anchor their Beliefs on the Outcome of an Initial Study? Testing the Time-Reversal Heuristic
Parsimonious Estimation of Signal Detection Models from Confidence Ratings
Modeling Across-Trial Variability in the Wald Drift Rate Parameter
A Bayesian Model-Averaged Meta-Analysis of the Power Pose Effect with Informed and Default Priors: The Case of Felt Power
A tutorial on bridge sampling
Fixed or Random?
bridgesampling: An R Package for Estimating Normalizing Constants
A Tutorial on Bayes Factor Design Analysis Using an Informed Prior
A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models using Warp-III Bridge Sampling
Replication Bayes Factors from Evidence Updating
Suggestions to Advance Your Mission: An Open Letter to Dr. Shinobu Kitayama, Editor of JPSP:ASC
Redefine statistical significance
Using Bayesian Regression to Test Hypotheses About Relationships Between Parameters and Covariates in Cognitive Models
Bayesian Reanalyses from Summary Statistics: A Guide for Academic Consumers
Estimates of Between-Study Heterogeneity for 705 Meta-Analyses Reported in Psychological Bulletin From 1990-2013
Incidental Haptic Sensations May Not Influence Social Judgments: A Purely Confirmatory Replication Attempt of Study 1 by Ackerman, Nocera, & Bargh (2010)
Bayes Factor Design Analysis: Planning for compelling evidence
Sequential hypothesis testing with Bayes factors: Efficiently testing mean differences
0000-0003-1596-1034
