|Survey Design and Data Analysis|
|Office:||Henry Angus 569|
|Class Schedule:||Jan 8- Feb 16
|Important Course Pages|
Dr. Tim Silk
Office: Henry Angus 569
Office Hours: TBA
Lecture & Discussion: Mon/Wed 12:30‐2:00 January 8th – February 16th, 2024
Classroom: MCML 154
Focus groups and surveys are the two most common data collection methods used in industry. This course will teach students industry best-practices for conducting applied market research using focus groups and surveys. The course will give students hands-on experience with focus group and survey research so that they leave the course with the ability to design, implement and analyze data collected via focus groups and surveys. Topics include the market research process, defining research objectives, focus group design and implementation, survey design and implementation, sample selection, data analysis, and presenting research findings. Classes will be discussion-based, interactive, and will present real-world examples of how the various research methods are used in industry. This course will be of interest to anyone who wants the ability to collect original data and insights using focus groups and surveys.
After this course, students will be able to:
- Write a well‐defined research question that acts as a guide in the market research process.
- Identify and apply the appropriate data collection technique to address the research question.
- Design and implement effective focus groups that identify new insights about the problem domain.
- Design and implement effective surveys that provide confirmatory data about the problem domain.
- Analyze focus group and survey data using a variety of qualitative and quantitative techniques including narrative theme coding, descriptive analysis, crosstab analysis, t‐tests, chi‐square analysis, and cluster analysis.
- Present research findings in a captivating manner that clearly articulates key findings and insights.
Students will form teams to complete a 4-part research project on a topic that interests them. They will conduct a series of exploratory interviews, code the interviews to identify themes, develop a survey to measure attitudes and behaviors, and analyze the survey results to develop specific and actionable recommendations. You can choose any real-world problem that interests you.Examples of past projects include: Attitudes toward sustainable packaging, how to increase adoption of organic foods, attitudes toward public transit, how to overcome food insecurity, attitudes toward the ban of plastic bags, hot to increase the adoption of vegetarian meat, barriers to buying local, attitudes toward lab-produced meat.
BIG QUESTIONS & REAL-WORLD APPLICATIONS IN CLIMATE, FOOD AND THE ENVIRONMENT COVERED IN THE COURSE
How to identify and uncover real-world insights that any organization is struggling to understand. For example, how can we overcome barriers in getting people to reduce their carbon footprint? What are people’s attitudes about our ability to positively impact climate change? This course will arm students with the methodological skill set to explore a problem domain, identify key themes, develop a survey to measure attitudes, and analyze the data to produce actionable recommendations.
|Activity||Percent of Grade|
|Class Participation (Individual)||10%|
|Project Part 1: Exploratory Interview Script (teams). Due 8pm Jan 22nd||15%|
|Project Part 2: Qualitative Coding Results (teams). Due 8pm Jan 29th||15%|
|Project Part 3: Survey Design (teams). Due 8pm Feb 5th||20%|
|Project Part 4: Final Presentation of Findings (teams). In class.||20%|
|Cluster Analysis Exercise (Individual). Due 5pm Feb 17th||20%|