Search Results - "Kruschke, John K"

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  1. 1

    Bayesian Analysis Reporting Guidelines by Kruschke, John K.

    Published in Nature human behaviour (01-10-2021)
    “…Previous surveys of the literature have shown that reports of statistical analyses often lack important information, causing lack of transparency and failure…”
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    Journal Article
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    The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective by Kruschke, John K., Liddell, Torrin M.

    Published in Psychonomic bulletin & review (01-02-2018)
    “…In the practice of data analysis, there is a conceptual distinction between hypothesis testing, on the one hand, and estimation with quantified uncertainty on…”
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    Journal Article
  3. 3

    Bayesian Assessment of Null Values Via Parameter Estimation and Model Comparison by Kruschke, John K.

    Published in Perspectives on Psychological Science (01-05-2011)
    “…Psychologists have been trained to do data analysis by asking whether null values can be rejected. Is the difference between groups nonzero? Is choice accuracy…”
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    Journal Article Book Review
  4. 4

    Bayesian data analysis by Kruschke, John K.

    “…Bayesian methods have garnered huge interest in cognitive science as an approach to models of cognition and perception. On the other hand, Bayesian methods for…”
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    Journal Article
  5. 5

    Humans create more novelty than ChatGPT when asked to retell a story by Breithaupt, Fritz, Otenen, Ege, Wright, Devin R., Kruschke, John K., Li, Ying, Tan, Yiyan

    Published in Scientific reports (09-01-2024)
    “…We compare how humans retell stories to how ChatGPT retells stories in chains of three retellings by different people or different accounts on ChatGPT. ChatGPT…”
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    Journal Article
  6. 6

    Bayesian Estimation Supersedes the "t" Test by Kruschke, John K

    “…Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations…”
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    Journal Article
  7. 7

    Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users by Ahn, Woo-Young, Vasilev, Georgi, Lee, Sung-Ha, Busemeyer, Jerome R, Kruschke, John K, Bechara, Antoine, Vassileva, Jasmin

    Published in Frontiers in psychology (12-08-2014)
    “…Substance dependent individuals (SDI) often exhibit decision-making deficits; however, it remains unclear whether the nature of the underlying decision-making…”
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    Journal Article
  8. 8

    What to believe: Bayesian methods for data analysis by Kruschke, John K

    Published in Trends in cognitive sciences (01-07-2010)
    “…Although Bayesian models of mind have attracted great interest from cognitive scientists, Bayesian methods for data analysis have not. This article reviews…”
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    Journal Article
  9. 9

    Bayesian data analysis for newcomers by Kruschke, John K., Liddell, Torrin M.

    Published in Psychonomic bulletin & review (01-02-2018)
    “…This article explains the foundational concepts of Bayesian data analysis using virtually no mathematical notation. Bayesian ideas already match your…”
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    Journal Article
  10. 10

    The Time Has Come: Bayesian Methods for Data Analysis in the Organizational Sciences by Kruschke, John K., Aguinis, Herman, Joo, Harry

    Published in Organizational research methods (01-10-2012)
    “…The use of Bayesian methods for data analysis is creating a revolution in fields ranging from genetics to marketing. Yet, results of our literature review,…”
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    Journal Article
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    Bayesian learning theory applied to human cognition by Jacobs, Robert A., Kruschke, John K.

    “…Probabilistic models based on Bayes' rule are an increasingly popular approach to understanding human cognition. Bayesian models allow immense representational…”
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    Journal Article
  12. 12

    Ostracism and Fines in a Public Goods Game with Accidental Contributions: The Importance of Punishment Type by Liddell, Torrin M., Kruschke, John K.

    Published in Judgment and Decision Making (01-11-2014)
    “…Punishment is an important method for discouraging uncooperative behavior. We use a novel design for a public goods game in which players have explicit…”
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    Journal Article
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    Serial reproduction of narratives preserves emotional appraisals by Breithaupt, Fritz, Li, Binyan, Kruschke, John K.

    Published in Cognition and emotion (19-05-2022)
    “…We conducted the largest multiple-iteration retelling study to date (12,840 participants and 19,086 retellings) with two different studies that test how…”
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    Journal Article
  15. 15

    Lay Evaluations of Police and Civilian Use of Force: Action Severity Scales by Celestin, Bradley D., Kruschke, John K.

    Published in Law and human behavior (01-06-2019)
    “…In modern societies, citizens cede the legitimate use of violence to law enforcement agents who act on their behalf. However, little is known about the extent…”
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  16. 16

    Locally Bayesian Learning With Applications to Retrospective Revaluation and Highlighting by Kruschke, John K

    Published in Psychological review (01-10-2006)
    “…A scheme is described for locally Bayesian parameter updating in models structured as successions of component functions. The essential idea is to…”
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    Journal Article
  17. 17

    Posterior predictive checks can and should be Bayesian: Comment on Gelman and Shalizi, 'Philosophy and the practice of Bayesian statistics' by Kruschke, John K.

    “…Bayesian inference is conditional on the space of models assumed by the analyst. The posterior distribution indicates only which of the available parameter…”
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    Journal Article
  18. 18

    Bayesian approaches to associative learning: from passive to active learning by Kruschke, John K

    Published in Learning & behavior (01-08-2008)
    “…Traditional associationist models represent an organism's knowledge state by a single strength of association on each associative link. Bayesian models instead…”
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    Journal Article
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    Attention in Learning by Kruschke, John K.

    “…Learners exhibit many apparently irrational behaviors in their use of cues, sometimes learning to ignore relevant cues or to attend to irrelevant ones. A…”
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