Global Certificate in Well-being Research Methods

• Research Designs in Well-being: An introduction to various research designs, including experimental, correlational, and observational methods, in the context of well-being research.
• Quantitative Data Analysis: An exploration of statistical methods for analyzing quantitative well-being data, including descriptive statistics, inferential statistics, and hypothesis testing.
• Qualitative Data Analysis: An examination of methods for analyzing qualitative well-being data, including thematic analysis, content analysis, and narrative analysis.
• Mixed Methods Research: An overview of mixed methods research, including the integration of qualitative and quantitative data in well-being research.
• Ethical Considerations in Well-being Research: A discussion of ethical considerations when conducting well-being research, including informed consent, confidentiality, and data security.
• Survey Design for Well-being Research: An exploration of best practices for designing surveys to measure well-being, including question development, sampling, and data quality.
• Observational Research in Well-being: An overview of observational research methods for studying well-being, including naturalistic observation and structured observation.
• Experimental Designs in Well-being Interventions: An examination of experimental designs for evaluating well-being interventions, including randomized controlled trials and quasi-experimental designs.
• Data Visualization in Well-being Research: An introduction to best practices for presenting well-being research data visually, including charts, graphs, and tables, to enhance communication and understanding of research findings.