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Psychology

D-Index
65
Citations
30624
World Ranking
2762
National Ranking
1590

Overview

Jeffrey N. Rouder is affiliated with the University of California, Irvine in the United States. Their research primarily spans the field of psychology, with particular emphasis on cognitive neuroscience, statistics and probability, experimental and cognitive psychology, general decision sciences, and artificial intelligence. The scope of their work addresses a range of topics including neural and behavioral psychology studies, statistical methods and Bayesian inference, decision-making and behavioral economics, child and animal learning development, mental health research, Bayesian modeling and causal inference, and cognitive abilities and testing.

Recent publications from Rouder include studies such as "Why many studies of individual differences with inhibition tasks may not localize correlations" (2023) in Psychonomic Bulletin & Review, "Are There Reliable Qualitative Individual Difference in Cognition?" (2021) in Journal of Cognition, and "Revisiting the remember-know task: Replications of Gardiner and Java (1990)" (2020) in Memory & Cognition. These papers reflect an ongoing engagement with topics related to individual differences, cognition, and experimental replication within psychological science.

Frequent coauthors collaborating with Rouder include Julia M. Haaf, Eric-Jan Wagenmakers, Martin Schnuerch, Richard D. Morey, and Barbara W. Sarnecka. The number of joint publications varies, with Haaf appearing most frequently among these partners.

Rouder's work is regularly published in venues such as:

  • Computational Brain & Behavior
  • Psychonomic Bulletin & Review
  • Psychological Methods
  • Journal of Mathematical Psychology
  • Behavior Research Methods

The research fields covered by Rouder encompass:

  • Psychology
  • Cognitive Neuroscience
  • Statistics and Probability
  • Experimental and Cognitive Psychology
  • General Decision Sciences
  • Artificial Intelligence

Main research topics include:

  • Neural and Behavioral Psychology Studies
  • Statistical Methods and Bayesian Inference
  • Decision-Making and Behavioral Economics
  • Child and Animal Learning Development
  • Mental Health Research Topics
  • Bayesian Modeling and Causal Inference
  • Cognitive Abilities and Testing

Best Publications

  • Bayesian T Tests for Accepting and Rejecting the Null Hypothesis

    Jeffrey N. Rouder;Paul L. Speckman;Dongchu Sun;Richard D. Morey

  • Redefine statistical significance

    Daniel J. Benjamin;James O. Berger;Magnus Johannesson;Magnus Johannesson;Brian A. Nosek;Brian A. Nosek

  • Default Bayes factors for ANOVA designs

    Jeffrey N. Rouder;Richard D. Morey;Paul L. Speckman;Jordan M. Province

  • Modeling Response Times for Two-Choice Decisions

    Roger Ratcliff;Jeffrey N. Rouder

  • Bayesian inference for psychology. Part II: Example applications with JASP

    Eric-Jan Wagenmakers;Jonathon Love;Maarten Marsman;Tahira Jamil

  • Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications.

    Eric-Jan Wagenmakers;Maarten Marsman;Tahira Jamil;Alexander Ly

  • Baysefactor: Computation of Bayes Factors for Common Designs

    R. D. Morey;J. N. Rouder

  • Statistical Evidence in Experimental Psychology An Empirical Comparison Using 855 t Tests

    Ruud Wetzels;Dora Matzke;Michael D. Lee;Jeffrey N. Rouder

  • JASP: Graphical Statistical Software for Common Statistical Designs

    Jonathon Love;Ravi Selker;Maarten Marsman;Tahira Jamil

  • The fallacy of placing confidence in confidence intervals

    Richard D. Morey;Rink Hoekstra;Jeffrey N. Rouder;Michael D. Lee

  • Bayes factor approaches for testing interval null hypotheses

    Richard D. Morey;Jeffrey N. Rouder

  • Default Bayes Factors for Model Selection in Regression.

    Jeffrey N. Rouder;Richard D. Morey

  • Optional stopping: No problem for Bayesians

    Jeffrey N. Rouder

  • Robust misinterpretation of confidence intervals

    Rink Hoekstra;Richard D. Morey;Jeffrey N. Rouder;Eric-Jan Wagenmakers

  • An assessment, of fixed-capacity models of visual working memory

    Jeffrey N. Rouder;Richard D. Morey;Nelson Cowan;Christopher E. Zwilling

  • How to measure working memory capacity in the change detection paradigm

    Jeffrey N. Rouder;Richard D. Morey;Candice C. Morey;Nelson Cowan

  • An introduction to Bayesian hierarchical models with an application in the theory of signal detection.

    Jeffrey N. Rouder;Jun Lu

  • Bayesian analysis of factorial designs.

    Jeffrey N. Rouder;Richard D. Morey;Josine Verhagen;April R. Swagman

  • The philosophy of Bayes’ factors and the quantification of statistical evidence

    Richard D. Morey;Richard D. Morey;Jan-Willem Romeijn;Jeffrey N. Rouder

  • A psychometrics of individual differences in experimental tasks

    Jeffrey N Rouder;Julia M Haaf

  • The fallacy of placing confidence in confidence intervals

    Richard Morey;E.J. Wagenmakers;J.N. Rouder;M.D. Lee

Frequent Co-Authors

Richard D. Morey
Richard D. Morey Cardiff University
Eric-Jan Wagenmakers
Eric-Jan Wagenmakers University of Amsterdam
Nelson Cowan
Nelson Cowan University of Missouri
David C. Geary
David C. Geary University of Missouri
Zoltan Dienes
Zoltan Dienes University of Sussex
Roger Ratcliff
Roger Ratcliff The Ohio State University
Brian A. Nosek
Brian A. Nosek Center for Open Science
Anthony G. Greenwald
Anthony G. Greenwald University of Washington
Micah O. Mazurek
Micah O. Mazurek University of Virginia
Andy P. Field
Andy P. Field University of Sussex

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