Applied multivariate research : design and interpretation

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Bibliographic Details
Main Authors Meyers, Lawrence S., 1943- (Author), Gamst, Glenn, 1953- (Author), Guarino, A. J. (Author)
Format Book
LanguageEnglish
Published Los Angeles : Sage, c2013
Edition2nd ed.
Subjects
vícerozměrné statistické metody
statistické metody
zpracování dat
sociální výzkum
multivariate analysis
statistical methods
data processing
monografie
monographs
ISBN9781412988117
Physical Descriptionxx, 1078 s. ; 24 cm

Cover

Table of Contents:
  • Preface
  • Author bios
  • The basics of multivariate design
  • An introduction to multivariate design
  • Some fundamental research design concepts
  • Data screening
  • Data screening using IBM SPSS
  • Univariate comparison of means
  • Univariate comparison of means using IBM SPSS
  • Multivariate analysis of variance
  • Multivariate analysis of variance using IBM SPSS
  • Predicting the value of a single variable
  • Bivariate correlation and simple linear regression
  • Bivariate correlation and simple linear regression using IBM SPSS
  • Multiple regression : statistical methods
  • Multiple regression : statistical methods using IBM SPSS
  • Multiple regression : beyond statistical regression
  • Multiple regression : beyond statistical regression using IBM SPSS
  • Multilevel modeling
  • Multilevel modeling using IBM SPSS
  • Binary and multinomial logistic regression and roc characteristic analysis
  • Binary and multinomial logistic regression and ROC analysis using IBM SPSS
  • Discriminant function analysis
  • Discriminant function analysis using IBM SPSS
  • Principal components analysis and exploratory factor analysis
  • Multidimensional scaling
  • The structure of this chapter
  • Cluster analysis using IBM SPSS
  • Confirmatory factor analysis
  • Confirmatory factor analysis using AMOS
  • Path analysis : multiple regression
  • Path analysis : structural modeling
  • Model invariance : applying a model to different groups

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