Applied multivariate research : design and interpretation /
Meyers, Lawrence S.,
Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A. J. Guarino. - Second edition. - xx, 1078 pages : illustrations ; 24 cm
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.
141298811X 9781412988117
2012031249
Multivariate analysis.
Social sciences--Statistical methods.
HA31.3 / .M487 2013
300.1519535
Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A. J. Guarino. - Second edition. - xx, 1078 pages : illustrations ; 24 cm
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.
141298811X 9781412988117
2012031249
Multivariate analysis.
Social sciences--Statistical methods.
HA31.3 / .M487 2013
300.1519535