Executive Development Programme in Wellness Research: Investigative Techniques
-- ViewingNowThe Executive Development Programme in Wellness Research: Investigative Techniques certificate course is a comprehensive program designed to equip learners with essential skills in wellness research. This course emphasizes the importance of evidence-based wellness practices, which are in high demand in today's rapidly growing wellness industry.
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⢠Introduction to Wellness Research · Understanding the importance of wellness research in today's world, its scope, and applications.
⢠Epidemiological Research Methods · Exploring various epidemiological research methods and designs, including cohort, case-control, and cross-sectional studies.
⢠Biostatistics in Wellness Research · Learning about various statistical methods and tools used in wellness research, including descriptive and inferential statistics, hypothesis testing, and data analysis.
⢠Qualitative Research Methods · Understanding the principles of qualitative research, including data collection methods such as interviews, focus groups, and observations.
⢠Survey Research Methods · Learning about survey research methods, including questionnaire design, sampling techniques, and data analysis.
⢠Experimental Research Design · Exploring the principles of experimental research design, including randomization, control, and blinding.
⢠Systematic Reviews and Meta-Analyses · Understanding the principles of systematic reviews and meta-analyses, including search strategies, study selection, and data synthesis.
⢠Ethical Considerations in Wellness Research · Exploring the ethical considerations involved in wellness research, including informed consent, confidentiality, and data security.
⢠Research Proposal Development · Learning about the process of developing a wellness research proposal, including problem identification, literature review, research questions, and study design.
⢠Data Management and Analysis · Understanding the principles of data management and analysis, including data cleaning, coding, and statistical analysis using software tools such as SPSS and SAS.
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