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A Guide to SPSS for Analysis of Variance



A Guide to SPSS for Analysis of Variance
This book is a guide to SPSS for the analysis of variance. It provides examples of programs that can be used for this purpose, as well as explanations of how to alter command specifications to fit specific needs. The book is divided into two parts, the first of which covers general rules concerning the use of SPSS, while the second part covers specific programs for the analysis of variance. more details
Key Features:
  • Provides examples of programs that can be used for the analysis of variance
  • Explains how to alter command specifications to fit specific needs


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Features
ISBN 9780805809398
Publisher Lawrence Erlbaum Associates Inc
Manufacturer Lawrence Erlbaum Associates Inc
Description
This book is a guide to SPSS for the analysis of variance. It provides examples of programs that can be used for this purpose, as well as explanations of how to alter command specifications to fit specific needs. The book is divided into two parts, the first of which covers general rules concerning the use of SPSS, while the second part covers specific programs for the analysis of variance.

This book offers examples of programs designed for analysis of variance and related statistical tests of significance that can be run with SPSS. The reader may copy these programs directly, changing only the names or numbers of levels of factors according to individual needs. Ways of altering command specifications to fit situations with larger numbers of factors are discussed and illustrated, as are ways of combining program statements to request a variety of analyses in the same program.

The first two chapters provide an introduction to the use of SPSS, Versions 3 and 4. General rules concerning the use of commands, subcommands, and keywords are discussed, providing a specific introduction to the use of SPSS for analysis of variance. They provide detailed programs for obtaining omnibus F tests in completely randomized designs and for designs that include repeated measures factors. The remaining chapters may be read independently and in any order.

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