Logistic Regression: An Option for a Management Research?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F14%3A00075873" target="_blank" >RIV/00216224:14560/14:00075873 - isvavai.cz</a>

Výsledek na webu

<a href="http://academic-conferences.org/pdfs/ECRM_2014_Abstract-booklet.pdf" target="_blank" >http://academic-conferences.org/pdfs/ECRM_2014_Abstract-booklet.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Logistic Regression: An Option for a Management Research?

Popis výsledku v původním jazyce

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 andhas 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.

Název v anglickém jazyce

Logistic Regression: An Option for a Management Research?

Popis výsledku anglicky

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 andhas 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.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 13th European Conference on Research Methodology for Business and Management Studies ECRM 2014

ISBN

9781909507616

ISSN

2049-0976

e-ISSN

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Počet stran výsledku

9

Strana od-do

348-356

Název nakladatele

Academic Conferences and Publishing International Limited

Místo vydání

Reading, UK

Místo konání akce

London, UK

Datum konání akce

16. 6. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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