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9780415165655

A Student's Guide to Analysis of Variance

by
  • ISBN13:

    9780415165655

  • ISBN10:

    0415165652

  • Edition: 1st
  • Format: Paperback
  • Copyright: 1999-03-16
  • Publisher: Routledge

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Supplemental Materials

What is included with this book?

Summary

Analysis of Variance (ANOVA) is one of the most widely used statistical tests in psychology and other behavioral sciences.A Student's Guide to Analysis of Varianceclearly and simply explains how to conduct and interpret ANOVA. It includes information on how to conduct ANOVA for a range of research designs, use follow-up tests, make sense of interactions and write formal reports. It also offers many valuable hints on how to make the best of the techniques available and how best to avoid pitfalls.

Author Biography

Maxwell J. Roberts and Riccardo Russo are experienced teachers of research methods and statistics. Both are lecturers in psychology at the University of Essex

Table of Contents

List of figures
x
List of tables
xiii
List of boxes
xv
Preface xvii
Acknowlegements xx
Introduction
1(8)
Averages, measures of dispersal and the t-test
9(21)
Summarising data
9(1)
Distribution
10(3)
Variability
13(4)
Testing for differences with the t-test
17(5)
Intuitive statistics
22(1)
Using one- and two-tailed tests
23(4)
A note on statistical power
27(3)
Using variance to test hypotheses
30(11)
Calculating F rations for one-factor between-subjects designs
41(21)
One-factor between-subjects ANOVA: advance topics
62(20)
ANOVA and the central limit theorem
62(7)
Assumptions underlying ANOVA
69(6)
Dealing with rogue data
75(7)
Following up a one-factor between-subject Anova
82(28)
The meanings of Anova outcomes
82(2)
Pairwise comparisons for single-factor designs: planned comparisons and post-hoc testing
84(8)
Making comparisons between every possible pair of means
92(6)
Linear contrast analysis for single-factor designs
98(12)
Calculating F ratios for one-factor within-subjects designs
110(24)
Sources of error variability
112(6)
Calculating F for a within-subjects design
118(10)
Planned comparisons and post-hoc testing
128(6)
An introduction to factorial designs and interactions
134(19)
Outcomes of factorial designs
137(11)
Managing factorial designs
148(5)
Calculating F rations for two-factor between-subjects designs
153(19)
Analysing a 2 X 2 between-subjects factorial design
156(16)
Following up a two-factor between-subjects Anova
172(22)
Some pitfalls in interpreting interactions
191(3)
Interpreting two-factor mixed and within-subjects designs
194(17)
Interpreting a three-factor Anova
211(13)
Summary and frequently asked questions
224(9)
A summary of follow-up tests for Analysis of Variance
224(3)
Frequently asked questions
227(6)
Appendix A: Writing up the results of Analysis of Variance 233(11)
Appendix B: Statistical tables 244(14)
Notes 258(2)
References 260(1)
Index 261

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