Logistic Regression: An Option for a Management Research?

ŽÁKOVÁ TALPOVÁ, Sylva. Logistic Regression: An Option for a Management Research?. Online. In Ann Brown and Martin Rich. Proceedings of the 13th European Conference on Research Methodology for Business and Management Studies ECRM 2014. Reading, UK: Academic Conferences and Publishing International Limited, 2014, p. 348-356. ISBN 978-1-909507-61-6.

Basic information

• Original name: Logistic Regression: An Option for a Management Research?
• Authors: ŽÁKOVÁ TALPOVÁ, Sylva (203 Czech Republic, guarantor, belonging to the institution).
• Edition: Reading, UK, Proceedings of the 13th European Conference on Research Methodology for Business and Management Studies ECRM 2014, p. 348-356, 9 pp. 2014.
• Publisher: Academic Conferences and Publishing International Limited

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 50600 5.6 Political science
• Country of publisher: United Kingdom of Great Britain and Northern Ireland
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: electronic version available online
• WWW: Abstracts Full proceedings
• RIV identification code: RIV/00216224:14560/14:00075873
• Organization unit: Faculty of Economics and Administration
• ISBN: 978-1-909507-61-6
• ISSN: 2049-0976
• Keywords in English: logistic regression; management; binary dependent variable
• Tags: International impact, Reviewed

Abstract

Many research problems in management science call for the analysis and prediction of a dichotomous outcome. Logistic regression is a technique developed for analyzing data with categorical dependent variables. It is widely used in biomedical research and has recently, been employed in other fields such as ecology, meteorology, business and finance, and educational research. However, the application of this technique in management science remains rare, perhaps in consequence of a dearth of literature addressing the specifics of logistic regression and its consequences that might set possible users on the right path. Moreover, consensus on how the results of logistic regression should be reported is often lacking. This article introduces what logistic regression may be able to do for management science. Issues specific to the application of logistic regression are discussed, as are possible problems with interpretation, and guidelines and recommendations for the employment of logistic regression in the management sciences are provided. The theoretical overview is supported by a practical example of the application of logistic regression in the management sciences.