Teaching Binary Logistic Regression Modeling in an Introductory Business Analytics Course

Autor/inn/en	Hoang, Viet-Ngu; Watson, Justin
Titel	Teaching Binary Logistic Regression Modeling in an Introductory Business Analytics Course
Quelle	In: Decision Sciences Journal of Innovative Education, 20 (2022) 4, S.201-211 (11 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hoang, Viet-Ngu)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1540-4595
DOI	10.1111/dsji.12274
Schlagwörter	Business Administration Education; Undergraduate Study; Data Analysis; Regression (Statistics); Learner Engagement; Instructional Effectiveness; Barriers; Spreadsheets + Suchen Sie Ihr Suchwort? Grundstudium; Auswertung; Regression; Regressionsanalyse; Unterrichtserfolg; Spread sheet; Spredsheets; Spreadsheet; Tabellenkalkulation
Abstract	There is an increasing demand to introduce Introductory Business Analytics (IBA) courses into undergraduate business education. Many real-world business contexts require predictive analytics to understand the determinants of a dichotomous outcome; hence, IBA courses should include binary logistic regression analysis. This article provides our reflective discussions on the design of learning activities and assessments to assist business students in learning binary logistic regression in an IBA course. Data on student engagement and learning outcomes are used to shed light on the impacts of teaching logistic regression on student learning and experience. Notably, students opt to focus their assessment work more on logistic regression than on multiple regression analysis, showing the potential attraction of students toward binary logistic regression analysis. We also observed several challenges, mainly related to the use of Excel, that require special attention from instructors. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01