A Guide to SPSS for Analysis of Variance

A Guide to SPSS for Analysis of Variance

A Guide to SPSS for Analysis of Variance

A Guide to SPSS for Analysis of Variance

Synopsis

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.

Excerpt

This manual provides detailed examples of programs for analysis of variance and related statistical tests of significance that can be run with releases 3 and 4 of the spss statistical software package. the purpose is to provide complete sets of commands that can be directly copied, with only names or numbers of levels of factors having to be changed. Ways to alter command specifications to fit situations with larger numbers of factors are discussed and illustrated, along with ways to combine program statements to request a variety of analyses in the same program.

It is assumed that the manual will often be used when a single design is of momentary interest. All of the chapters have the types of designs as major headings, so a specific design can be readily located (e.g., completely randomized, repeated measures, or mixed). Each chapter focuses on a particular type of test (for example simple effects, multiple comparisons, trend analyses), further simplifying identification of the needed sets of commands. in addition, each of the chapters has its own concluding section on reading the printouts for the type of information discussed in that chapter.

Chapters 1 and 2 are the basic chapters to be read by people not already familiar with spss. Chapter 1 gives detailed programs for obtaining omnibus F tests in completely randomized designs. Chapter 2 gives the same type of information for designs that include repeated measures factors. General rules concerning the use of specific commands, subcommands, and keywords, are also discussed in these two chapters, offering a highly specfic introduction to the use of spss for analysis of variance.

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