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Dr. Leslie Portney is the Director of Graduate Programs in Physical Therapy for the MGH Institute of Health Professions. Leslie graduated with a Doctor of Physical Therapy from the MGH Institute, a PhD in Gerontology from Boston University, a Master of Science in Physical Therapy from Medical College of Virginia, and a Certificate in Physical Therapy from the University of Pennsylvania. She is a licensed physical therapist in both New York and Massachusetts. Leslie has authored a multitude of books and has contributed to a variety of different publications including the PT-Magazine of Physical Therapy. Leslie is currently a member of the American Physical Therapy Association and on the Task Force on Uniform Outcomes Assessment.
Dr. Mary Watkins is a Clinical Associate Professor in the Graduate Programs in Physical Therapy for the MGH Institute of Health Professions. Mary graduated with a Doctor of Physical Therapy from the MGH Institute and a Master of Science from Boston University. Mary is a licensed physical therapist in Massachusetts, a member of the American Physical Therapy Association. Mary has authored many book chapters and contributed to a number of different publications including the Journal of Hand Therapy, the Journal of Bone and Joint Surgery, Journal of the American Medical Association, Journal of Occupational Rehabilitation and the Journal of Orthopedic & Sports Physical Therapy.
Part I: Foundations of Clinical Research
1. A Concept of Clinical Research
2. The Role of Theory in Clinical Research
3. Ethical Issues in Clinical Research
Part II: Concepts of Measurement
4. Principles of Measurement
5. Reliability of Measurements
6. Validity of Measurements
Part III: Designing Clinical Research
7. Asking the Research Question
8. Sampling
9. Validity in Experimental Design
10. Experimental Designs
11. Quasi-Experimental Designs
12. Single Subject Designs
13. Exploratory Research: Observational Designs
14. Descriptive Research
15. Surveys and Questionnaires
16. Systematic Reviews and Meta-Analyses
Part IV: Data Analysis
17. Descriptive Analysis
18. Statistical Inference
19. Comparing Two Means: The t-test
20. Comparing More Than Two Means: Analysis of Variance
21. Multiple Comparison Tests
22. Nonparametric Tests for Group Comparisons
23. Correlation
24. Regression
25. Measures of Association for Categorical Variables: Chi-Square
26. Statistical Measures of Reliability
27. Statistical Measures of Validity
28. Epidemiology: Measures of Risk
29. Multivariate Analysis
30. Data Management
Part V: Communication
31. Writing a Research Proposal
32. Reporting the Results of Clinical Research
33. Evaluating Research Reports