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

Title: Combine Statistical Thinking with Open Scientific Practice: A Protocol of a Bayesian Research Project
Language: English
Authors: Sarafoglou, Alexandra (ORCID 0000-0003-0031-685X); van der Heijden, Anna; Draws, Tim (ORCID 0000-0001-5053-4674); Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten
Source: Psychology Learning and Teaching. Jul 2022 21(2):138-150.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Peer Reviewed: Y
Page Count: 13
Publication Date: 2022
Document Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Descriptors: Bayesian Statistics; Thinking Skills; Undergraduate Students; Psychology; Holistic Approach; Statistics Education; Teaching Methods; Statistical Inference; Probability; Programming; Mathematics Education; Mathematical Concepts; Mathematics Instruction; Data Collection; Data Analysis; Introductory Courses; Research Reports; Scientific Research; Student Research; Foreign Countries
Geographic Terms: Netherlands (Amsterdam)
DOI: 10.1177/14757257221077307
ISSN: 1475-7257
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.
Abstractor: As Provided
Entry Date: 2022
Accession Number: EJ1342132
Database: ERIC