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Applied statistics : from bivariate through multivariate techniques

Author: Rebecca M Warner
Publisher: Thousand Oaks, Calif. : SAGE Publications, ©2008.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
"Applied Statistics: From Bivariate Through Multivariate Techniques provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M. Warner presents these concepts in an accessible way that does not requite formal mathematics training." "This is an excellent  Read more...
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Genre/Form: Einführung
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Rebecca M Warner
ISBN: 9780761927723 0761927727
OCLC Number: 72988475
Description: xxvi, 1101 pages : illustrations ; 27 cm
Contents: Review of basic concepts --
Introduction to SPSS: basic statistics, sampling error, and confidence intervals --
Statistical significance testing --
Preliminary data screening --
Comparing group means using the independent samples t test --
One-way between-subjects analysis of variance --
Bivariate Pearson correlation --
Alternative correlation coefficients --
Bivariate regression --
Adding a third variable: preliminary exploratory analyses --
Multiple regression with two predictor variables --
Dummy predictor variables and interaction terms in multiple regression --
Factorial analysis of variance --
Multiple regression with more than two predictors --
Analysis of covariance --
Discriminant analysis --
Multivariate analysis of variance --
Principal components and factor analysis --
Reliability, validity, and multiple item scales --
Analysis of repeated measures --
Binary logistic regression.
Responsibility: Rebecca M. Warner.
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Abstract:

With an approach that does not require formal mathematics training, this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression,  Read more...

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"Excellent, practical instructional approach that does not overwhelm students with advanced math." -- Leusher D. Madrid 20081117

 
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