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Mindless statistics

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  • Gigerenzer, Gerd

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  • Gigerenzer, Gerd, 2004. "Mindless statistics," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 587-606, November.
    • Handle: RePEc:eee:soceco:v:33:y:2004:i:5:p:587-606
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    References listed on IDEAS

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    1. Gigerenzer, Gerd & Todd, Peter M. & ABC Research Group,, 2000. "Simple Heuristics That Make Us Smart," OUP Catalogue, Oxford University Press, number 9780195143812, Decembrie.
    2. E. F. Shawyer, 1998. "Editorial," Maritime Policy & Management, Taylor & Francis Journals, vol. 25(2), pages 105-105, January.
    3. Deirdre N. McCloskey & Stephen T. Ziliak, 1996. "The Standard Error of Regressions," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 97-114, March.
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    Cited by:

    1. Alexander Libman & Joachim Zweynert, 2014. "Ceremonial Science: The State of Russian Economics Seen Through the Lens of the Work of ‘Doctor of Science’ Candidates," Working Papers 337, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    2. Richard A. Bettis & Sendil Ethiraj & Alfonso Gambardella & Constance Helfat & Will Mitchell, 2016. "Creating repeatable cumulative knowledge in strategic management," Strategic Management Journal, Wiley Blackwell, vol. 37(2), pages 257-261, February.
    3. Kim, Jae H., 2017. "Stock returns and investors' mood: Good day sunshine or spurious correlation?," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 94-103.
    4. Kellner, Ralf & Rösch, Daniel, 2021. "A Bayesian Re-Interpretation of “significant” empirical financial research," Finance Research Letters, Elsevier, vol. 38(C).
    5. De Villiers, R. & Tipgomut, P., 2018. "Reviewing the marketing theory adoption journey for studies using QCA as a methodological approach: Insights, gaps and agenda for future research," Australasian marketing journal, Elsevier, vol. 26(4), pages 317-337.
    6. Flyvbjerg, Bent & Ansar, Atif & Budzier, Alexander & Buhl, Søren & Cantarelli, Chantal & Garbuio, Massimo & Glenting, Carsten & Holm, Mette Skamris & Lovallo, Dan & Molin, Eric & Rønnest, Arne & Stewa, 2019. "On de-bunking “Fake News” in the post-truth era: How to reduce statistical error in research," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 409-411.
    7. Stanley, T.D. & Doucouliagos, Chris & Jarrell, Stephen B., 2008. "Meta-regression analysis as the socio-economics of economics research," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(1), pages 276-292, February.
    8. Libman, Alexander & Zweynert, Joachim, 2014. "Ceremonial science: The state of Russian economics seen through the lens of the work of ‘Doctor of Science’ candidates," Economic Systems, Elsevier, vol. 38(3), pages 360-378.
    9. Marc Orlitzky, 2011. "Institutionalized dualism: statistical significance testing as myth and ceremony," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(1), pages 47-77, September.
    10. Athena Engman, 2013. "Is there life after P>0.05? Statistical significance and quantitative sociology," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(1), pages 257-270, January.
    11. Thomas Mayer, 2012. "Ziliak and McCloskey's Criticisms of Significance Tests: An Assessment," Econ Journal Watch, Econ Journal Watch, vol. 9(3), pages 256-297, September.
    12. Kim, Jae, 2015. "How to Choose the Level of Significance: A Pedagogical Note," MPRA Paper 66373, University Library of Munich, Germany.
    13. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
    14. Rindermann, Heiner & Becker, David & Thompson, James, 2018. "Honesty, rule violation and cognitive ability: A reply to Gächter and Schulz," Intelligence, Elsevier, vol. 68(C), pages 66-69.
    15. Kevin Hoover & Mark Siegler, 2008. "Sound and fury: McCloskey and significance testing in economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 15(1), pages 1-37.
    16. Kumar, Satish & Azar, Ofer H. & Pandey, Nitesh & Lim, Weng Marc, 2022. "Fifty years of the Journal of Behavioral and Experimental Economics: A bibliometric review," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    17. Becker, David & Coyle, Thomas R. & Minnigh, Tyler L. & Rindermann, Heiner, 2022. "International differences in math and science tilts: The stability, geography, and predictive power of tilt for economic criteria," Intelligence, Elsevier, vol. 92(C).
    18. Arch G. Woodside, 2017. "Releasing the death-grip of null hypothesis statistical testing ( < .05): Applying complexity theory and somewhat precise outcome testing (SPOT)," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 27(1), pages 1-15, January.
    19. Robert Bloomfield & Kristina Rennekamp & Blake Steenhoven, 2018. "No System Is Perfect: Understanding How Registration‐Based Editorial Processes Affect Reproducibility and Investment in Research Quality," Journal of Accounting Research, Wiley Blackwell, vol. 56(2), pages 313-362, May.
    20. Marko Hofmann & Silja Meyer-Nieberg, 2018. "Time to dispense with the p-value in OR?," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 193-214, March.
    21. Kodila-Tedika, Oasis & Rindermann, Heiner & Christainsen, Gregory, 2014. "Cognitive capital, governance, and the wealth of nations," MPRA Paper 57563, University Library of Munich, Germany.
    22. Nicolas Vallois & Dorian Jullien, 2017. "Estimating Rationality in Economics: A History of Statistical Methods in Experimental Economics," Working Papers halshs-01651070, HAL.
    23. Rindermann, Heiner & Becker, David, 2018. "FLynn-effect and economic growth: Do national increases in intelligence lead to increases in GDP?," Intelligence, Elsevier, vol. 69(C), pages 87-93.

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