Experimental Design and Statistics for Psychology / Edition 1

Experimental Design and Statistics for Psychology / Edition 1

by Fabio Sani, John Todman
     
 

ISBN-10: 1405100230

ISBN-13: 9781405100236

Pub. Date: 12/15/2005

Publisher: Wiley

Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results.

  • Makes abundant use of charts, diagrams and figures.
  • Assumes no prior knowledge of statistics.
  • Invaluable to all

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Overview

Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results.

  • Makes abundant use of charts, diagrams and figures.
  • Assumes no prior knowledge of statistics.
  • Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students.
  • Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design.
  • Provides detailed instructions on how to perform statistical tests with SPSS.

Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book.

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Product Details

ISBN-13:
9781405100236
Publisher:
Wiley
Publication date:
12/15/2005
Edition description:
REV
Pages:
240
Product dimensions:
7.00(w) x 9.90(h) x 0.79(d)

Table of Contents

Preface.

1. Scientific Psychology and the Research Process.

2. The Nature of Psychology Experiments (I): Variables and Conditions.

3. The Nature of Psychology Experiments (II): Validity.

4. Describing Data.

5. Making Inferences from Data.

6. Selecting a Statistical Test.

7. Tests of Significance for Nominal Data.

8. Tests of Significance for Ordinal Data (and Interval/Ratio Data When Parametric Assumptions Are Not Met).

9. Tests of Significance for Interval Data.

10. Correlational Studies.

Appendix 1: Statistical Tables.

Glossary.

A Brief List of Recommended Books.

Index.

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