Struggling to do a project or dissertation, evaluate published research or conduct your own research? Help is at hand with this 5th edition of Research Methods for Clinical Therapists, which explains, in a clear and simple manner, how to evaluate existing research and how to conduct your own research.
Aimed at undergraduate and postgraduate students, as well as the practising health care professional, the focus of the text is the design and analysis of experimental studies. These are vital to the effectiveness studies that are central to the work of the healthcare professional. Specific examples from different areas of healthcare are used to explain the core research concepts and relate them to clinical situations. Statistical theory and jargon are kept to a minimum.
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 13. SECTION 2: Statistical tests 14. Non-parametric tests for same- and matched-subject designs 15. Parametric tests for same- and matched-subject designs 16. Non-parametric tests for different- (unrelated-) subject designs 17. Parametric tests for different- (unrelated-) subject designs 18. Non-parametric and parametric tests for correlational designs 19. Estimation 20. SECTION 3: Research applications 21. Attitude scales 22. Repertory grid analysis 23. Using statistics in diagnostic and screening tests: Receiver Operating Characteristics 24. Capturing expert opinion: the Delphi technique 25. Capturing the user voice: Thurstone’s paired comparison technique 26. Capturing the clinician’s view: reliability measures 27. Undertaking systematic reviews 28. Appendix 29. Basic mathematical principles 30. Statistical probability tables 31. Answers to activities 32. A sample critique of a published article 33. Glossary 34. Index
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Struggling to do a project or dissertation, evaluate published research or conduct your own research? Help is at hand with this 5th edition of Research Methods for Clinical Therapists, which explains, in a clear and simple manner, how to evaluate existing research and how to conduct your own research.
Aimed at undergraduate and postgraduate students, as well as the practising health care professional, the focus of the text is the design and analysis of experimental studies. These are vital to the effectiveness studies that are central to the work of the healthcare professional. Specific examples from different areas of healthcare are used to explain the core research concepts and relate them to clinical situations. Statistical theory and jargon are kept to a minimum.
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 13. SECTION 2: Statistical tests 14. Non-parametric tests for same- and matched-subject designs 15. Parametric tests for same- and matched-subject designs 16. Non-parametric tests for different- (unrelated-) subject designs 17. Parametric tests for different- (unrelated-) subject designs 18. Non-parametric and parametric tests for correlational designs 19. Estimation 20. SECTION 3: Research applications 21. Attitude scales 22. Repertory grid analysis 23. Using statistics in diagnostic and screening tests: Receiver Operating Characteristics 24. Capturing expert opinion: the Delphi technique 25. Capturing the user voice: Thurstone’s paired comparison technique 26. Capturing the clinician’s view: reliability measures 27. Undertaking systematic reviews 28. Appendix 29. Basic mathematical principles 30. Statistical probability tables 31. Answers to activities 32. A sample critique of a published article 33. Glossary 34. Index
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