Table of Contents

SECTION 1 Basic principles of research

1. Introduction
2. Research design and statistics: some basic concepts
3. Questionnaires, surveys and sampling
4. The nature of the data
5. Techniques of descriptive statistics
6. Testing hypotheses
7. Designing your study
8. Sources of error in research
9. Matching the research design to the statistical test
10.Putting the theory into practice
11.Writing up the research for publication
12.Reading published research critically

SECTION 2 Statistical tests

13.Non-parametric tests for same- and matched-subject designs
14.Parametric tests for same- and matched-subject designs
15. Non-parametric tests for different- (unrelated-) subject designs
16.Parametric tests for different- (unrelated-) subject designs
17.Non-parametric and parametric tests for correlational designs
18.Estimation

SECTION 3 Research applications

19.Attitude scales
20.Repertory grid analysis
21.Using statistics in diagnostic and screening tests: receiver operating characteristics
22.Capturing expert opinion: the Delphi technique
23.Capturing the user voice: Thurstone's paired comparison technique
24.Capturing the clinician's view: reliability measures
25.Undertaking systematic reviews

Appendices
Appendix 1 Basic mathematical principles
Appendix 2 Statistical probability tables
Appendix 3 Answers to activities
Appendix 4 A sample critique of a published article

Glossary
References, further reading and information sources
Index