Title: Factor Analysis and Principal Components Analysis
Abstract:Chapter 28 Factor Analysis and Principal Components Analysis Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers b...Chapter 28 Factor Analysis and Principal Components Analysis Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author Book Author(s):Richard A. Armstrong, Richard A. ArmstrongSearch for more papers by this authorAnthony C. Hilton, Anthony C. HiltonSearch for more papers by this author First published: 12 November 2010 https://doi.org/10.1002/9780470905173.ch28 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onFacebookTwitterLinked InRedditWechat Summary Principal components analysis (PCA) and factor analysis (FA) are also methods of examining the relationships between different variables, but they differ from multiple regression in that no distinction is made between the dependent and independent variables; all variables are essentially treated the same. The data comprise the band distances migrated in millimeters from the origin of the gel for each of the DNA preparations and are presented in this chapter. The " variables "︁ in a PCA/FA are defined by a number of criteria. PCA/FA are methods of analyzing complex data sets in which there are no clearly defined X or Y variables. They have multiple uses, including the study of the pattern of variation between individual entities such as bacterial strains and the detailed study of descriptive variables. Statistical Analysis in Microbiology: Statnotes RelatedInformationRead More
Publication Year: 2010
Publication Date: 2010-11-12
Language: en
Type: other
Indexed In: ['crossref']
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Cited By Count: 2
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