Table of Contents
Preface vii
Acknowledgements xi
Section 1 Basic principles of research 1
1 Introduction 3
2 Research design and statistics: some basic concepts 17
3 Questionnaires, surveys and sampling 23
4 The nature of the data 37
5 Techniques of descriptive statistics 45
6 Testing hypotheses 69
7 Designing your study 91
8 Sources of error in research 103
9 Matching the research design to the statistical test 121
10 Putting the theory into practice 135
11 Writing up the research for publication 147
12 Reading published research critically 161
Section 2 Statistical tests 167
13 Non-parametric tests for same- and matched-subject designs 169
14 Parametric tests for same- and matched-subject designs 187
15 Non-parametric tests for different-(unrelated-) subject designs 201
16 Parametric tests for different- (unrelated-) subject designs 221
17 Non-parametric and parametric tests for correlational designs 235
18 Estimation 253
Section 3 Research applications 263
19 Attitude scales 265
20 Repertory grid analysis 275
21 Using statistics in diagnostic and screening tests: Receiver Operating Characteristics 287
22 Capturing expert opinion: the Delphi technique 301
23 Capturing the user voice: Thurstone's paired comparison technique 309
24 Capturing the clinician's view: reliability measures 315
25 Undertaking systematic reviews 327
Appendices
Appendix 1 Basic mathematical principles 337
Appendix 2 Statistical probability tables 341
Appendix 3 Answers to activities 359
Appendix 4 A sample critique of a published article 371
Glossary 391
Index 399
