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dc.contributor.authorVehkalahti, Kimmo
dc.contributor.authorEveritt, Brian S.
dc.date.issued2019
dc.identifier.isbn9781351202275
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/10278
dc.descriptionxxi, 415 p. : ill.
dc.description.abstractThis book, 2nd edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis.
dc.language.isoen
dc.publisherCRC Press
dc.subjectMultivariate analysis
dc.subject.otherSocial sciences
dc.subject.otherStatistical methods
dc.titleMultivariate analysis for the behavioral sciences
dc.typeBook
dc.description.version2nd edition


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