Levine's Guide to SPSS for Analysis of Variance
Autor Sanford L. Braver, David P. MacKinnon, Melanie Pageen Limba Engleză Hardback – 20 ian 2016
Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout.
The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by downloadable resources with all of the book's data sets, as well as exercises for each chapter.
This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.
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Specificații
ISBN-13: 9781138134898
ISBN-10: 1138134899
Pagini: 206
Dimensiuni: 210 x 280 mm
Greutate: 0.7 kg
Ediția:Revised
Editura: Taylor & Francis
Colecția Psychology Press
Locul publicării:Oxford, United Kingdom
ISBN-10: 1138134899
Pagini: 206
Dimensiuni: 210 x 280 mm
Greutate: 0.7 kg
Ediția:Revised
Editura: Taylor & Francis
Colecția Psychology Press
Locul publicării:Oxford, United Kingdom
Public țintă
ProfessionalCuprins
Contents: Preface. Using SPSS and Using This Book. Reading in and Transforming Variables for Analysis in SPSS. One-Factor Between-Subjects Analysis of Variance. Two-Factor Between-Subjects Analysis of Variance. Three (and Greater) Factor Between-Subjects Analysis of Variance. One-Factor Within-Subjects Analysis of Variance. Two- (or More) Factor Within-Subjects Analysis of Variance. Two-Factor Mixed Designs in Analysis of Variance: One Between-Subjects Factor and One Within-Subjects Factor. Three- (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. Appendices.
Notă biografică
Sanford L. Braver (Author) , David P. MacKinnon (Author) , Melanie Page (Author)
Descriere
Provides instructions and examples for running analyses of variance and other related stitica tests of significance using SPSS Vs. 11 using pull-down menus or writing programs or syntax. Prerequisite includes a basic understanding of ANOVA techniques.