Comparative Study of Principal Components and Factor Analytic Techniques

Simple item page
dc.contributor.authorReuben, Benham Zangaluka
dc.date.accessioned2017-07-17T14:04:05Z
dc.date.available2017-07-17T14:04:05Z
dc.date.issued2013-10
dc.descriptionA Thesis Report Submitted to the Postgraduate School, Ahmadu Bello University, Zaria in Fulfillment for the Award of M.Sc Degree in Statistics Department of Mathematicsen_US
dc.description.abstractPrincipal component and factor analytic techniques take large number of variables and reduce them to much smaller number of coherent subset such that variables within a subset are related to one another but independent to those in other subsets. These methods summarize patterns of correlation between observed variables. In this research work, Principal Components and Factor Analytic Techniques are compared using data from Nigerian Consumption Pattern 2009/2010. The results revealed that factor analytic techniques preserve correlation more than principal components, while on the other hand, principal components preserve variance more than factor analytic techniques. We therefore conclude that factor analysis should be used when we are interested in making statements about the factors that are responsible for a set of observed responses, and principal component analysis should be used when we are simply interested in performing data reduction.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9079
dc.language.isoenen_US
dc.subjectComparative Study,en_US
dc.subjectPrincipal Components,en_US
dc.subjectFactor of Analytical Techniques,en_US
dc.titleComparative Study of Principal Components and Factor Analytic Techniquesen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Comparative Study Of Principal Components And Factor.pdf
Size:
1.74 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
SCIENCE