Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project

Author:

Sarafoglou Alexandra1ORCID,van der Heijden Anna12,Draws Tim3ORCID,Cornelisse Joran14,Wagenmakers Eric-Jan1,Marsman Maarten1

Affiliation:

1. Department of Psychology, University of Amsterdam, The Netherlands

2. Currently at De Groene Lobby, The Netherlands

3. Faculty of Engineering, Mathematics and Computer Science, Delft University of Technology, The Netherlands

4. Currently at SocialDatabase, The Netherlands

Abstract

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.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Publisher

SAGE Publications

Subject

General Psychology,Education

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4. 1,500 scientists lift the lid on reproducibility

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