Here is the synopsis of our sample research paper on Factor Analysis, Multi-Dimensional Scaling, and Cluster Analysis. Have the paper e-mailed to you 24/7/365.
Essay / Research Paper Abstract
A 3 page paper discussing these statistical analysis tools. The paper identifies a companies using each, and then provides an email to upper management explaining the use of each in business research. Bibliography lists 4 sources.
Page Count:
3 pages (~225 words per page)
File: CC6_KSstatsBizUse.rtf
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Unformatted sample text from the term paper:
Cluster Analysis Factor Analysis American Airlines used SPSS software to develop customer satisfaction tracking surveys using factor analysis as its primary method of
analyzing data collected with the surveys (Directions 2004 User Conference, n.d.). The company also used factor analysis in designing the survey, collecting data and reporting. Multi-Dimensional Scaling
AutoTrader.com claims the "worlds largest database of new and used vehicles" (Autotrader.com Manages Extraordinary Growth with SAS(r), n.d.). Listing more than 2 million vehicles
and providing both general and specific information, the site has "more than 6 million unique visitors to its site each month" (Autotrader.com Manages Extraordinary Growth with SAS(r), n.d.). It
uses software from SAS to provide multidimensional scaling reporting "visitor demographics, customer behavior, ad serving analytics and sales leads, and provides customer insights" (Autotrader.com Manages Extraordinary Growth with SAS(r), n.d.).
Cluster Analysis A SAS product also was the choice of Paddock Laboratories, a niche pharmaceutical company providing a variety of generic drugs to
the market. The company uses cluster analysis to monitor the positions of competitors patents. The information gained through cluster analysis of competitors positions assists the company in determining
"the feasibility of bringing new generic drugs to market" (Innovating Opportunities, n.d.). Email to Upper Management Factor analysis, multidimensional scaling and cluster analysis
are common tools of exploratory data analysis. Following is a review of the broad uses of each. Factor analysis appears to be most useful for the companys present
purposes. Factor Analysis Factor analysis has two primary uses. One of those is to reduce the number of variables; the other is
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