Logistic Regression: An Option for a Management Research?

D 2014

Logistic Regression: An Option for a Management Research?

ŽÁKOVÁ TALPOVÁ, Sylva

Základní údaje

Originální název

Logistic Regression: An Option for a Management Research?

Autoři

ŽÁKOVÁ TALPOVÁ, Sylva

Vydání

Reading, UK, Proceedings of the 13th European Conference on Research Methodology for Business and Management Studies ECRM 2014, od s. 348-356, 9 s. 2014

Nakladatel

Academic Conferences and Publishing International Limited

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

50600 5.6 Political science

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Abstracts, Full proceedings

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14560/14:00075873

Organizační jednotka

Ekonomicko-správní fakulta

ISBN

978-1-909507-61-6

ISSN

Klíčová slova anglicky

logistic regression; management; binary dependent variable

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 30. 10. 2020 08:34, Ing. Bc. Sylva Talpová, Ph.D.

Anotace

V originále

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.

Citovat

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, s. 348-356. ISBN 978-1-909507-61-6.

@inproceedings{1187941,
   author = {Žáková Talpová, Sylva},
   address = {Reading, UK},
   booktitle = {Proceedings of the 13th European Conference on Research Methodology for Business and Management Studies ECRM 2014},
   editor = {Ann Brown and Martin Rich},
   keywords = {logistic regression; management; binary dependent variable},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Reading, UK},
   isbn = {978-1-909507-61-6},
   pages = {348-356},
   publisher = {Academic Conferences and Publishing International Limited},
   title = {Logistic Regression: An Option for a Management Research?},
   url = {http://academic-conferences.org/pdfs/ECRM_2014_Abstract-booklet.pdf},
   year = {2014}
}

TY  - CONF
ID  - 1187941
AU  - Žáková Talpová, Sylva
PY  - 2014
TI  - Logistic Regression: An Option for a Management Research?
PB  - Academic Conferences and Publishing International Limited
CY  - Reading, UK
SN  - 9781909507616
KW  - logistic regression
KW  - management
KW  - binary dependent variable
UR  - http://academic-conferences.org/pdfs/ECRM_2014_Abstract-booklet.pdf
L2  - http://academic-conferences.org/pdfs/ECRM_2014_Abstract-booklet.pdf
N2  - 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.
ER  -

ŽÁKOVÁ TALPOVÁ, Sylva. Logistic Regression: An Option for a Management Research?. Online. In Ann Brown and Martin Rich. \textit{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, s.~348-356. ISBN~978-1-909507-61-6.

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