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

DSpace at IIT Bombay

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Field Value
 
Title Factor analysis to identify latent constructs across management subjects at a business school
 
Creator KUMAR, UA
SINGH, M
 
Subject eigenvalue
eigenvector
correlation
covariance
 
Description 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.
 
Publisher IEEE
 
Date 2011-07-31T12:32:57Z
2011-12-26T12:53:01Z
2011-12-27T05:40:05Z
2011-07-31T12:32:57Z
2011-12-26T12:53:01Z
2011-12-27T05:40:05Z
2007
 
Type Article
 
Identifier PROCEEDINGS OF THE 2007 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS, (), 357-362
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8121
http://hdl.handle.net/10054/8121
 
Language en