RESEARCH METHODS & DESIGN
David A. Sonnenfeld
Abstract
David A. Sonnenfeld
Abstract
DESCRIPTION Overview This course surveys foundations of (especially, social) scientific research methods and design. It is designed especially for first-semester MS in Environmental Studies students. Graduate students from other programs who have a 'human dimensions' or policy aspect to their research are welcome, as well. Topics include the scientific method; research ethics; research design; measurement; sampling; quantitative, qualitative, and mixed data collection techniques; data analysis and interpretation; and research proposal development. Students learn how to define a research question, explore the strengths and limitations of various research methods, gain brief practical experience with several data collection methods, and draft a preliminary research proposal. Upon successful completion of this course, it is expected that students will study in greater depth those particular method(s) for data collection and analysis most appropriate for their research topic, question and field(s) of study.
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DESCRIPTION Overview This course surveys foundations of (especially, social) scientific research methods and design. It is designed especially for first-semester MS in Environmental Studies students. Graduate students from other programs who have a 'human dimensions' or policy aspect to their research are welcome, as well. Topics include the scientific method; research ethics; research design; measurement; sampling; quantitative, qualitative, and mixed data collection techniques; data analysis and interpretation; and research proposal development. Students learn how to define a research question, explore the strengths and limitations of various research methods, gain brief practical experience with several data collection methods, and draft a preliminary research proposal. Upon successful completion of this course, it is expected that students will study in greater depth those particular method(s) for data collection and analysis most appropriate for their research topic, question and field(s) of study.
Key concepts: Data collection, Research design, Management science, Computer science, Data science, Interpretation (philosophy), Research methodology, Field (mathematics)