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A Guide to SPSS for Analysis of Variance

By Gustav Levine

Psychology Press – 1991 – 176 pages

Purchasing Options:

  • Add to CartPaperback: $43.95
    978-0-8058-0941-1
    January 1st 1991
  • Add to CartHardback: $60.00
    978-0-8058-0939-8
    January 1st 1991

Description

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.

Reviews

"…provides valuable information about running complex analysis of variance designs using SPSS."

Journal of Quality Technology

Contents

Contents: Preface. Basic Commands and Omnibus F Tests for Completely Randomized Designs. Basic Commands and Omnibus F Tests for Designs With Repeated Measures. Analysis of Covariance Programs. Simple Effects Programs. Multiple Comparisons With a Single Between Subjects Factor. Contrasts With Repeated Measures and Multiple Factors. Trend Analysis.

Name: A Guide to SPSS for Analysis of Variance (eBook)Psychology Press 
Description: By Gustav Levine. 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...
Categories: Psychological Methods & Statistics