Title :
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
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;
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
DOI :
10.1109/SOLI.2007.4383890
