Bayesian Evaluation of Informative Hypotheses: An Introductory Course
Time and Location
Thursday May 22, 2008, 9:00 AM - 12:50 PM
Are you happier if a p-value is .049 rather than .051? Did you ever have trouble finding a meaningful interpretation upon finding one or more significant test results? Did you ever worry about the interpretation of p-values when testing more than one hypothesis? Do you like large sample sizes because more tests will be significant? Did you ever quit a research project because none of the tests were significant? If you answer “yes” to one or more of these questions, and if you have one or more theories with respect to the state of affairs in your research domain, this course may be useful because it will temper you happiness, reduce your trouble, address your worries, discuss your liking, and provide an alternative for quitting by teaching you a new way to analyze your data: Bayesian evaluation of informative hypotheses.
The course is aimed at researchers who want to evaluate theories and move beyond exploratory data analysis. The course is aimed at researchers who are not afraid to learn a new approach for hypotheses evaluation. Explanations will be based on illustrations using concrete data and corresponding hypotheses; formulas will not play a role in this course.