MOMENTAN AUSVERKAUFT

Quantitative Applications in the Social Sciences Ser.: Principal Components Analysis by George Henry Dunteman (1989, Trade Paperback)

Über dieses Produkt

Product Identifiers

PublisherSAGE Publications, Incorporated
ISBN-100803931042
ISBN-139780803931046
eBay Product ID (ePID)746169

Product Key Features

Number of Pages96 Pages
LanguageEnglish
Publication NamePrincipal Components Analysis
Publication Year1989
SubjectResearch
TypeTextbook
AuthorGeorge Henry Dunteman
Subject AreaSocial Science
SeriesQuantitative Applications in the Social Sciences Ser.
FormatTrade Paperback

Dimensions

Item Height0.3 in
Item Weight4 Oz
Item Length8.3 in
Item Width5.4 in

Additional Product Features

Intended AudienceScholarly & Professional
Series Volume Number69
IllustratedYes
Volume NumberVol. 69
Table Of ContentIntroductionBasic Concepts of Principal ComponentsGeometrical Properties of Principal ComponentsDecomposition Properties of Principal ComponentsPrincipal Components of Patterned Correlation MatricesRotation of Principal ComponentsUsing Principal Components to Select a Subset of VariablesPrincipal Components Versus Factor AnalysisUses of Principal Components in Regression AnalysisUsing Principal Components to Detect Outlying and Influential ObservationsUse of Principal Components in Cluster AnalysisUse of Principal Components Analysis in Conjunction with Other Multivariate Analysis ProceduresOther Techniques Related to Principal ComponentsSummary and Conclusions
SynopsisFor anyone in need of a concise, introductory guide to principle components analysis, this book is a must. Through an effective use of simple mathematical geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures)--and by minimizing the use of matrix algebra--the reader can quickly master and put this technique to immediate use. In addition, the author shows how this technique can be used in tandem with other multivariate analysis techniques-such as multiple regression and discriminant analysis. Flexible in his presentation, Dunteman speaks to students at differing levels, beginning or advanced, bringing them new material that is both accessible and useful. "Two of the best attributes of the book are the prolific use of good examples--primarily social science based--and the repetition basics. . . . This book is a useful addition to the work in this area." --Issues in Researching Sexual Behavior "Most academic researchers and practitioners will benefit from the experience and practical advice in this paper. Not only does Dunteman contribute to our understanding of principal components, but he suggests several good ideas on how to make wider and better use of the technique." --Journal of Marketing Research "A concise, introductory guide with a minimal use of matrix algebra and with multiple real-life examples." --Bulletin de Methodologie Sociologique "An interesting and useful little book." --Journal of Classification, For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures) -- and by minimizing the use of matrix algebra -- the reader can quickly master and put this technique to immediate use., The author expounds the application of this multivariate analysis technique to the social sciences. He demonstrates what it can offer the researcher in analyzing particular sets of multidimensional data. He shows how it can be used to determine the number of factors to be retained in a factor analysis; for extracting the initial factors in a factor analysis; in selecting a subset of variables to represent a much larger set; and in coping with multicolinearity in regression analysis, a persistent problem in behavioural and social science data sets.