Factor analysis to identify latent constructs across management subjects at a business school

Author

Kumar, Usha A. ; Singh, Manandeep

Author_Institution

Associate Professor, Shailesh J. Mehta School of Management, IIT Bombay. Phone: (022) 25767786; fax: 25722872; email: usha@som.iitb.ac.in

fYear

2007

fDate

27-29 Aug. 2007

Firstpage

1

Lastpage

6

Abstract

Factor analysis involves the study of order and structure in multivariate data. It starts with a set of observations obtained from a given sample, analyzing this set of observation with their inter-correlations to determine whether the variations represented can be accounted for adequately by a number of basic categories smaller than that with which the investigation was started. Factor analysis is applied to identify the latent constructs in the subjects being offered at a business school. The significance of this study is to get some insight on the course design of the prevailing academic curriculum.

Keywords

Communication channels; Data analysis; Educational institutions; Eigenvalues and eigenfunctions; History; Information analysis; Information technology; Instruments; Technology management; Testing; Correlation; Covariance; Eigenvalue; Eigenvector;

fLanguage

English

Publisher

ieee

Conference_Titel

Service Operations and Logistics, and Informatics, 2007. SOLI 2007. IEEE International Conference on

Conference_Location

Philadelphia, PA, USA

Print_ISBN

978-1-4244-1118-4

Electronic_ISBN

978-1-4244-1118-4

Type

conf

DOI

10.1109/SOLI.2007.4383890

Filename

4383890