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Applied multivariate research :desig...

Gamst, Glenn.

Applied multivariate research :design and interpretation /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied multivariate research :Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.
Reminder of title:	design and interpretation /
Author:	Meyers, Lawrence S.
other author:	Gamst, Glenn.
Published:	Thousand Oaks, Calif. :SAGE Publications,c2013.
Description:	xx, 1078 p. :ill. ;24 cm.
Subject:	Multivariate analysis.
ISBN:	9781412988117 (hbk.) :

Applied multivariate research :design and interpretation /
Meyers, Lawrence S.

Applied multivariate research :design and interpretation /Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. - 2nd ed. - Thousand Oaks, Calif. :SAGE Publications,c2013. - xx, 1078 p. :ill. ;24 cm.

Includes bibliographical references and indexes.

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.

ISBN: 9781412988117 (hbk.) :NT$2879

LCCN: 2012031249Subjects--Topical Terms:

181905
Multivariate analysis.

LC Class. No.: HA31.3 / .M487 2013

Dewey Class. No.: 300.1/519535

Applied multivariate research :design and interpretation /
LDR:02148cam a2200229 a 4500 001 380809
003 DLC
005 20121220094524.0
008 130709s2013 caua b 001 0 eng
010 $a 2012031249
020 $a 9781412988117 (hbk.) : $c NT$2879
020 $a 141298811X (hbk.)
035 $a 2012031249
040 $a DLC $c DLC $d DLC
042 $a pcc
050 0 0 $a HA31.3 $b .M487 2013
082 0 0 $a 300.1/519535 $2 23
100 1 $a Meyers, Lawrence S. $3 242022
245 1 0 $a Applied multivariate research : $b design and interpretation / $c Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.
250 $a 2nd ed.
260 $a Thousand Oaks, Calif. : $b SAGE Publications, $c c2013.
300 $a xx, 1078 p. : $b ill. ; $c 24 cm.
504 $a Includes bibliographical references and indexes.
505 0 $a 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.
650 0 $a Multivariate analysis. $3 181905
650 0 $a Social sciences $x Statistical methods. $3 182009
700 1 $a Gamst, Glenn. $3 242020
700 1 $a Guarino, A. J. $3 242021