The book introduces the main aspects of experimental design and statistics, including:
how to formulate precise hypotheses and design experiments aimed at testing them.
coverage of different aspects of experimental design.
descriptive and inferential statistical analysis of experimental data.
the difference between experimental and correlational studies.
detailed instructions on how to perform statistical tests with SPSS.
An invaluable step–by–step guide to all psychology students needing a firm grasp of the basics, Experimental Design and Statistics for Psychology: A First Course will also fire the imagination of more ambitious students by tackling some of the topic s more complex, controversial issues.
This book is also supported by an online password protected lecturer resource site which features test questions, downloadable figures and tables, and sample SPSS data–sets. Visit [external URL]
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.
A Brief List of Recommended Books.