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David Voas; Laura Watt – Teaching Statistics: An International Journal for Teachers, 2025
Binary logistic regression is one of the most widely used statistical tools. The method uses odds, log odds, and odds ratios, which are difficult to understand and interpret. Understanding of logistic regression tends to fall down in one of three ways: (1) Many students and researchers come to believe that an odds ratio translates directly into…
Descriptors: Statistics, Statistics Education, Regression (Statistics), Misconceptions
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Newman, Isadore; Hitchcock, John H.; Nastasi, Bonnie K. – Research in the Schools, 2017
Any attempt to influence behavior by sharing a research finding that makes a probabilistic statement (e.g., a p value) should necessarily entail consideration of how consumers of the information might interpret this information. Such consideration can be informed, at least in part, by applying phenomenological principles of inquiry. This does not…
Descriptors: Qualitative Research, Phenomenology, Stakeholders, Mixed Methods Research
Lopes, Lola L. – Journal of Experimental Psychology: Human Learning and Memory, 1981
The commonly accepted idea that the only rational measure of the worth of a gamble is its expected value or some subjective counterpart such as expected utility is examined. Also discussed are the changes called for in theories of rational choice when prescriptions of rational models violate common sense. (Author/GK)
Descriptors: Decision Making, Models, Probability, Risk
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Zetie, K. P.; James, J. E. M. – Physics Education, 2002
The concept of risk has entered into physics courses in various guises. It is treated explicitly in the "Advancing Physics" [1] course and implicitly at GCSE through "Ideas and Evidence" discussions. This could easily lead to such ideas as the balance between treatment and risk in radiotherapy and the likelihood of an asteroid strike. In this…
Descriptors: Physics, Risk, Statistics, Probability