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Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A. J. Guarino.

By: Contributor(s): Material type: TextTextPublisher: Thousand Oaks, Calif. : SAGE Publications, [2013]Copyright date: ©2013Edition: Second editionDescription: xx, 1078 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 141298811X
  • 9781412988117
Subject(s): DDC classification:
  • 300.1519535 23
LOC classification:
  • HA31.3 .M487 2013
Contents:
Preface to the second edition-- About the authors -- 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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Includes bibliographical references and index.

Preface to the second edition-- About the authors -- 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.

Machine converted from AACR2 source record.

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