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

Autor/inn/en	Sarafoglou, Alexandra; van der Heijden, Anna; Draws, Tim; Cornelisse, Joran; Wagenmakers, Eric-Jan; Marsman, Maarten
Titel	Combine Statistical Thinking with Open Scientific Practice: A Protocol of a Bayesian Research Project
Quelle	In: Psychology Learning and Teaching, 21 (2022) 2, S.138-150 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sarafoglou, Alexandra) ORCID (Draws, Tim)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1475-7257
DOI	10.1177/14757257221077307
Schlagwörter	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; Netherlands (Amsterdam) + Suchen Sie Ihr Suchwort? Denkfähigkeit; Psychologie; Holistischer Ansatz; Teaching method; Lehrmethode; Unterrichtsmethode; Inferential statistics; Schließende Statistik; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Programmierung; Mathematische Bildung; Mathematics lessons; Mathematikunterricht; Data capture; Datensammlung; Auswertung; Einführungskurs; Research report; Forschungsbericht; Studentenforschung; Ausland
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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01