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Cited by 890Statistics Education and MethodologiesStatistical Methods and Bayesian InferenceEducational Research and Methods

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Gigerenzer, Gerd·2004·The Journal of Socio-Economics
DOI 10.1016/j.socec.2004.09.033
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  • By comparing data to national health registry data, the sample was in fact representative of the target population based on the demographic data collected.

    “by comparing our data to national health registry data [54] (see Table 2) we can see that our sample was in fact representative of the target population based on the demographic data that was collected.”

    From Exploring emotional well-being, spiritual, religious and personal beliefs and telomere length in chronic pain patients—A pilot study with cross-sectional design (2024) · cites this paper as [54]

    The passages in “7. Meehl’s conjecture” discuss statistical significance and a personality-inventory dataset, not national health registry data. Searches for registry data, demographic comparisons, and sample representativeness found no passage addressing the cited claim. (LLM, conf=0.77)

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Research works printed but not linked: 32

  1. Acree, M.C., 1978. Theories of Statistical Inference in Psychological Research: A Historicocritical Study. Disser- tation. University Microfilms International H790 H7000, Ann Arbor, MI. American Psychological Association, 1974. Publication Manual, 2nd ed., 3rd ed., 1983; 4th ed., 1994; 5th ed., 2001. Garamond/Pridemark Press, Baltimore, MD.
  2. Anderson, D.R., Burnham, K.P., Thompson, W.L., 2000. Null hypothesis testing: problems, prevalence, and an alternative. Journal of Wildlife Management 64, 912-923.
  3. Bakan, D., 1966. The test of significance in psychological research. Psychological Bulletin 66, 423-437.
  4. Czerlinski, J., Gigerenzer, G., Goldstein, D.G., 1999. How good are simple heuristics? In: Gigerenzer, G., Todd, P.M., the ABC Reading Group, Simple Heuristics That Make Us Smart. Oxford University Press, New York, pp. 97-118.
  5. Ferguson, L., 1959. Statistical Analysis in Psychology and Education. McGraw-Hill, New York.
  6. Feynman, R., 1998. The Meaning of it All: Thoughts of a Citizen-Scientist. Perseus Books, Reading, MA, pp. 80-81.
  7. Fidler, F., 2002. The fifth edition of the APA Publication Manual: why its statistics recommendations are so controversial. Educational and Psychological Measurement 62, 749-770.
  8. Fisher, R.A., 1955. Statistical methods and scientific induction. Journal of the Royal Statistical Society (B) 17, 69-77.
  9. Gigerenzer, G., 1987. Probabilistic thinking and the fight against subjectivity. In: Krüger, L., Gigerenzer, G., Morgan, M. (Eds.), The Probabilistic Revolution. Vol. II: ideas in the Sciences. MIT Press, Cambridge, MA, pp. 11-33.
  10. Gigerenzer, G., 1993. The superego, the ego, and the id in statistical reasoning. In: Keren, G., Lewis, C. (Eds.), A Handbook for Data Analysis in the Behavioral Sciences: Methodological Issues. Erlbaum, Hillsdale, NJ, pp. 311-339.
  11. Gigerenzer, G., 2000. Adaptive Thinking: Rationality in the Real World. Oxford University Press, New York.
  12. Gigerenzer, G., 2002. Calculated Risks: How to Know When Numbers Deceive You. Simon & Schuster, New York (UK edition: Reckoning with Risk: Learning to Live with Uncertainty. Penguin, London).
  13. Gigerenzer, G., Krauss, S., Vitouch, O., 2004. The null ritual: What you always wanted to know about null hypothesis testing but were afraid to ask. In: Kaplan, D. (Ed.), Handbook on Quantitative Methods in the Social Sciences. Sage, Thousand Oaks, CA, pp. 389-406.
  14. Gigerenzer, G., Swijtink, Z., Porter, T., Daston, L., Beatty, J., Krüger, L., 1989. The Empire of Chance. How Probability Changed Science and Every Day Life. Cambridge University Press, Cambridge, UK.
  15. Gigerenzer, G., Todd, P.M., The ABC Research Group, 1999. Simple Heuristics that Make Us Smart. Oxford University Press, New York.
  16. Guilford, J.P., 1942. Fundamental Statistics in Psychology and Education, 3rd ed., 1956; 6th ed., 1978 (with Fruchter, B). McGraw-Hill, New York.
  17. Hoffrage, U., Hertwig, R., Gigerenzer, G., 2000. Hindsight bias: a by-product of knowledge updating? Journal of Experimental Psychology: Learning, Memory, and Cognition 26, 566-581.
  18. Luce, R.D., 1988. The tools-to-theory hypothesis. Review of G. Gigerenzer and D.J. Murray, "Cognition as intuitive statistics". Contemporary Psychology 33, 582-583.
  19. McCloskey, D.N., Ziliak, S., 1996. The standard error of regression. Journal of Economic Literature 34, 97- 114.
  20. Meehl, P.E., 1978. Theoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology. Journal of Consulting and Clinical Psychology 46, 806-834.
  21. Melton, A.W., 1962. Editorial. Journal of Experimental Psychology 64, 553-557.
  22. Mulaik, S.A., Raju, N.S., Harshman, R.A., 1997. There is a time and a place for significance testing. In: Harlow, L.L., Mulaik, S.A., Steiger, J.H. (Eds.), What if there were no significance tests? Erlbaum, Mahwah, NJ, pp. 65-115.
  23. Neyman, J., 1957. Inductive behavior as a basic concept of philosophy of science. International Statistical Review 25, 7-22.
  24. Nickerson, R.S., 2000. Null hypothesis significance testing: a review of an old and continuing controversy. Psy- chological Methods 5, 241-301.
  25. Nunally, J.C., 1975. Introduction to Statistics for Psychology and Education. McGraw-Hill, New York.
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  27. Pollard, P., Richardson, J.T.E., 1987. On the probability of making Type I errors. Psychological Bulletin 102, 159-163.
  28. Roberts, S., Pashler, H., 2000. How persuasive is a good fit? A comment on theory testing. Psychological Review 107, 358-367.
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  30. Rucci, A.J., Tweney, R.D., 1980. Analysis of variance and the "second discipline" of scientific psychology: a historical account. Psychological Bulletin 87, 166-184.
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Authors
Gigerenzer, G.
Affiliations
Max Planck Institute for Human Development (DE)
Corresponding author
Gigerenzer, Gerd
ORCID
Gigerenzer, Gerd
Venue
The Journal of Socio-Economics
Publisher
Elsevier BV
Published
2004-11
Volume
33
Issue
5
Pages
587-606
ISSN
1053-5357 (ISSN-L)
DOI
10.1016/j.socec.2004.09.033
OpenAlex
W4240809722
Cited by
890
References
6
Citations by year
2026: 69 · 2025: 59 · 2024: 42 · 2023: 47 · 2022: 59 · 2021: 70 · 2020: 58 · 2019: 68 · 2018: 92 · 2017: 88 · 2016: 47 · 2015: 44 · 2014: 24 · 2013: 14 · 2012: 16
FWCI
7.05
Type
journal article
Language
en
Open access
Licence
Locations
  • The Journal of Socio-Economics (publishedVersion)
  • Max Planck Digital Library (submittedVersion, other-oa)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Education › Educational Research and Methods
Keywords
null hypothesis significance testing, statistical thinking, hypothesis testing, research practices, academic sanctions, statistics education

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