Publisher's Synopsis
RenÉe Taylor and an international team of contributors carry on Gary Kielhofner's innovative vision to demystify the research process and demonstrate that research is essential to occupational therapy practice. They present a comprehensive guide to conducting applied research in the field from qualitative, quantitative, and mixed perspectives for students and clinicians.
You'll begin with a grounding in conducting evidence-based practice in OT and an explanation of the six broad components of the research process. Then you will explore research designs, measurements, and statistical analysis for qualitative and quantitative studies. You'll examine the steps and procedures required to conduct research and how research can be used to shape professional practice and improve patient care. Additional topics include needs assessment research, program evaluation research, mixed methods research, outcomes research for evidence-based practice, writing a literature review, and obtaining funding for research.
You'll begin with a grounding in conducting evidence-based practice in OT and an explanation of the six broad components of the research process. Then you will explore research designs, measurements, and statistical analysis for qualitative and quantitative studies. You'll examine the steps and procedures required to conduct research and how research can be used to shape professional practice and improve patient care. Additional topics include needs assessment research, program evaluation research, mixed methods research, outcomes research for evidence-based practice, writing a literature review, and obtaining funding for research.
- New, Updated & Revised! Reflecting the latest developments in the field and current ACOTE standards
- New & Expanded! Increased attention to qualitative research with additional chapters that cover the hands-on application of qualitative methodology
- Revised! Chapters on statistics that focus on their use and interpretation
- Expanded! More examples and images of research-related tools, approaches, data collection, data analysis, and data outcomes work
- Expanded! Case Examples with thought-provoking questions to engage the reader
- New! A "Review and Apply" sections with multiple-choice and open-ended questions and activities
- Explores statistical analysis, including meta-analysis-research design and measurement tools that are part of quantitative research
- OT-specific examples
