Levine's Guide to SPSS for Analysis of Variance
Lawrence Erlbaum Associates Inc (Publisher)
2nd Edition
Published on 1. January 2003
Book
Mixed media product
304 pages
978-0-8058-3095-8 (ISBN)
Description
The second edition of this guide provides instructions and clear examples for running analyses of variance and several other related statistical tests of significance with SPSS. The book emphasizes the use of syntax that includes the commands and subcommands that tell SPSS what to do, although pull-down menus that show where to point-and-click are also included. Emphasizing syntax helps assure that users can validate the analysis being performed. Features of this addition include: an update of the old syntax; reorganized to provide all analysis related to one design type in the same chapter; expanded coverage of analysis of covariance and mixed designs; new chapter on designs; and a free CD-ROM with all the data sets used in the book, as well as data sets to be used with the exercises. The book should be useful to readers who are familiar with the basic concepts of the ANOVA technique, including both practising researchers and data analysts, as well as advanced students learning analysis of variance.
More details
Edition
2nd Revised edition
Language
English
Place of publication
Mahwah
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
ISBN-13
978-0-8058-3095-8 (9780805830958)
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Schweitzer Classification
Content
Using SPSS, and Using This Book; Reading In And Transforming Variables For Analysis In SPSS; One Way Analysis In SPSS; One Way Analysis Of Variance; Two Way Analysis Of Variance; Three (And Greater) Factor Analysis Of Variance; One Factor Within Subjects Analysis Of Variance; Two (Or More) Factor Within Subjects Analysis Of Variance; Mixed Designs In Analysis Of Variance - One Between Subjects Factor And One Within Subjects Factor; Thre (Or Greater) Factor Mixed Designs; Analysis Of Covariance; Designs With Random Factors; Multivariate Analysis Of Variance - Designs With Multiple Dependent Variables Tested Simultaneously; GLM And UNIANOVA Syntax.