Research Design in Chinese Medicine

Research Design in Chinese Medicine: Linking Social and Health Sciences is an innovative and comprehensive guide that bridges the ancient wisdom of Traditional Chinese Medicine (TCM) with modern research methods in social and health sciences.

Dongcheng Li is an acupuncture physician in Florida, a board-certified by NCCAOM and the founder of Global TCM Education Center, holding a doctoral degree in Education from Johns Hopkins University. He has enriched his teaching career by instructing at several acupuncture colleges in the United States. Recently, he introduced an innovative concept by integrating social and health sciences into Chinese medicine research, offering the potential for independent research opportunities for Chinese medicine practitioners and creative solutions for doctoral students in acupuncture colleges. Dr. Li, a fifth-generation Traditional Chinese Medicine (TCM) practitioner, received comprehensive training in China from a young age. He holds a Medical Degree in TCM, a Master's degree in Chinese Medicine from Chinese universities, and a Master's degree in Exercise Physiology from the United States. Dr. Li is also an accomplished author, with several popular books available on Amazon.com. Since 2009, he has been actively teaching Acupuncture Board Licensing exam preparation courses throughout the United States, benefiting thousands of people worldwide directly or indirectly through his training books and courses. With over 15 years of experience in acupuncture and Chinese medicine, he currently operates a private practice in South Florida.

Chapter 1: Getting Started: The Purpose and Ideas of Research Chapter 2: Formulating a Research Question Chapter 3: Ethics in Social and Health Research Chapter 4 Conducting Literature Reviews Chapter 5 Quantitative Research Designs Chapter 6: Measurement Errors, Reliability, and Validity Chapter 7 Sampling and Recruitment Chapter 8: The Experiment and Quasi-Experimentation Designs Chapter 9: Data Collection for Quantitative Research Chapter 10: Secondary Data Chapter 11: Data Entry and Management in Quantitative Research Chapter 12: Analyzing Quantitative Data Chapter 13: Qualitative Designs and Data Collection Chapter 14: Entering, Coding, and Analyzing Qualitative Data Chapter 15: Mixed-method Design Chapter 16: Results and Discussion Chapter 17: Presenting and Disseminating Your Research Chapter 18: Reflecting on the Journey