Become a successful evidence-based practitionerHow do you evaluate the evidence? Is the information accurate, relevant and meaningful for clinical decision making? Did the design fit the research questions and was the analysis and interpretation of data appropriate?Here are all the materials you need to take your first steps as evidence-based practitioners...how to use the design, data and analysis of research as the foundation for effective clinical decision making. You'll find support every step of the way as you progress from the foundations of clinical research and concepts of measurement through the processes of designing studies and analyzing data to writing their own research proposal.Five Stars. "Best book I have read explaining research. Not too complicated - but very thorough."-Amazon ReviewerSimply the best. "This is such a valuable resource. Bought it for the DPT program I am enrolled in. I will keep it as an excellent resource. So well written."-Amazon Reviewer... this is a great book." It explains concepts so well! Our professor changed to this book the next year. All the OTs and PTs in my PhD program have bought this book. This is in my keep forever collection. Everyone in my department has the book and only loans it out with strict instructions for its return."-Kelly A., Amazon Reviewer
Part I: FOUNDATIONS OF CLINICAL RESEARCH 1. Frameworks for Generating and Applying Evidence 2. On the Road to Translational Research 3. Defining the Research Question 4. The Role of Theory in Research and Practice 5. Understanding Evidence-Based Practice 6. Searching the Literature 7. Ethical Issues in Clinical Research Part II: CONCEPTS OF MEASUREMENT 8. Principles of Measurement 9. Concepts of Measurement Reliability 10. Concepts of Measurement Validity 11. Designing Surveys and Questionnaires 12. Understanding Health Measurement Scales Part III: DESIGNS FOR CLINICAL RESEARCH 13. Choosing a Sample 14. Principles of Clinical Trials 15. Design Validity 16. Experimental Designs 17. Quasi-Experimental Designs 18. Single - Subject Designs 19. Exploratory Research: Observational Designs 20. Descriptive Research 21. Qualitative Research Part IV: ANALYZING DATA 22. Descriptive Statistics 23. Foundations of Statistical Inference 24. Comparing Two Means: The t-test 25. Comparing More Than Two Means: Analysis of Variance 26. Multiple Comparison Tests 27. Nonparametric Tests for Group Comparisons 28. Measuring Association for Categorical Variables: Chi-Square 29. Correlation 30. Regression 31. Multivariate Analysis 32. Measurement Revisited: Reliability and Validity Statistics 33. Diagnostic and Screening Procedures 34. Epidemiology: Measuring Risk Part V: Putting It All Together 35. Writing a Research Proposal 36. Critical Appraisal: Evaluating Research Reports 37. Synthesizing Evidence: Systematic Reviews and Meta-Analyses 38. Disseminating Research Appendices Statistical Tables Relating the Research Question to the Choice of Statistical Test Data Management Glossary Index
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