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Category: Project

Description: This repository contains materials related to the article ``Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project''. This repository contains the following materials: the study preregistration, the analysis code, all data and materials, and the student evaluations. Furthermore, it contains the results of the Bayesian reanalysis of the original studies and the formal description of the mathematical model for multiple independent binomial probabilities. Current developments in the statistics community suggest that modern statistics education should be structured holistically, that is, by allowing students to work with real data and to answer concrete statistical questions, but also by educating them about alternative frameworks, such as Bayesian inference. In this article, we describe how we incorporated such a holistic structure in a Bayesian research project on ordered binomial probabilities. The project was conducted with a group of three undergraduate psychology students who had basic knowledge of Bayesian statistics and programming, but lacked formal mathematical training. The research project aimed to (1) convey the basic mathematical concepts of Bayesian inference; (2) have students experience the entire empirical cycle including collection, analysis, and interpretation of data and (3) teach students open science practices.