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Levine's Guide to SPSS for Analysis of Variance
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Levine's Guide to SPSS for Analysis of Variance

Book Details

Format Paperback / Softback
ISBN-10 0805830960
ISBN-13 9780805830965
Publisher Taylor & Francis Inc
Imprint Psychology Press
Country of Manufacture GB
Country of Publication GB
Publication Date Apr 1st, 2003
Print length 208 Pages
Weight 380 grams
Product Classification: Mathematical & statistical software
Ksh 17,100.00
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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.
A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design).

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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