Please note: This course will be taught in hybrid mode. Hybrid delivery of courses will include synchronous live sessions during which on campus and online students will be taught simultaneously.

Sarah Shair-Rosenfield is professor of comparative politics at the University of York. Her research investigates the way that political actors are constrained by rules and institutions, how actors may subsequently affect the structure of those institutions in pursuit of specific policies and outcomes, and whether certain traits or characteristics of political actors, whether groups or individuals, can affect the interdependent relationship between actors’ choices and the institutions in which they operate. She is a collaborator on the Regional Authority Index, a widely-used measure of decentralised governance from 1960 to 2018, has been invited to consult with the United Nations and United States Agency for International Development. She is joint Editor-in-Chief of Political Studies, has recently convened multiple early career training programmes funded by the British Academy, American Political Science Association, and Political Studies Association, and is a co-founder of the Women in Southeast Asian Social Sciences (WiSEASS) network.

Relevant publication: Electoral Reform and the Fate of New Democracies: Lessons from the Indonesian Case (2019 University of Michigan Press)

Course Content

Aspiring social scientists often wonder, “what is mixed methods research?” and “when should I use mixed methods in my research?” But before making decisions about using mixed methods research, other questions should be considered, such as “what is my philosophical stance?” and “what is my research question?” In this course, I will introduce students to mixed methods research in the social sciences. This course will provide depth and breadth on developing well-refined and theoretically driven mixed methods studies, along with guidance on using appropriate methods and instruments during data collection, integration, and analysis. The course content will be enhanced by an overview of both qualitative and quantitative methods, separately, then an examination of these methods together, and their valuable contributions to mixed methods research. The course provides (1) an introduction to mixed methods research; (2) an examination of the philosophical assumptions that guide the decision to use mixed methods research; (3) a context for data analysis and integration; and (4) a framework for drawing conclusions from mixed methods that inform future research, practice, and policy. A primary aspect of the course will be to teach students how to determine if mixed methods are necessary, given the problem statement and research questions.  

 

Course Objectives

By the end of the course, students will be able to: (1.) Adopt a philosophical stance and highlight the major theoretical underpinnings guiding mixed methods research; (2.) Determine when someone should consider conducting a mixed methods study and understand the procedures for choosing a mixed methods design; (3.) Discuss measurement, sampling, and analyzing qualitative and quantitative data for mixed methods research; (4.) Describe ways to integrate and interpret qualitative and quantitative data to address a mixed methods research question; and (5.) Identify ways to disseminate results from mixed methods research. 

 

Course Prerequisites

This is an introductory course. Participants are not required to have anything more than basic knowledge, comfort, and familiarity using one (or both) of the single methods (qualitative or quantitative). 

 

 

 

Day 1: Introduction to mixed methods research  & philosophical stance 

Lecture: Define mixed methods research and how it fits into social science research methodology and methods.  

Lab: Exercises to explore interests in mixed methods research, course goals, and personal philosophical stance.  

 

Day 2: History of mixed methods, ethics, and the responsible conduct of research 

Lecture: The origins and purpose of mixed methods research. The history of research ethics and the responsible conduct of research. The role of theory in conducting responsible mixed methods research. 

Lab: Exercises to explore mixed methods with under-resourced communities and making culturally-sensitive decisions. 

 

Day 3: Developing the research question & choosing a mixed methods design 

Lecture: Determine when someone should consider conducting a mixed methods study. Describe different mixed methods designs. Understand the procedures involved with choosing a mixed methods design.

Lab: Exercise on writing mixed methods research questions and the different  parts of a “good” mixed methods research question 

 

Day 4: Collecting QUALITATIVE data 

Lecture: Identify under what conditions qualitative data should be collected. Discuss how to conceptualize and operationalize qualitative research. Discuss measurement and sampling in qualitative research studies. 

Lab: Collecting qualitative data exercise. 

 

Day 5: Analyzing QUALITATIVE data 

Lecture: Review and discuss ways to analyze qualitative (e.g., interviews, focus groups, observation data, videos, social media data, etc.) data for mixed methods research. 

Lab: Analyzing qualitative data exercise. 

 

Day 6: Collecting QUANTITATIVE data 

Lecture: Identify under what conditions quantitative data should be collected.  Discuss how to conceptualize and operationalize quantitative research. Discuss measurement and sampling in quantitative research studies. 

Lab: Collecting quantitative data exercise. 

 

Day 7: Analyzing QUANTITATIVE data 

Lecture: Review and discuss  ways to analyze quantitative data (descriptive and inferential statistics) for mixed methods research. 

Lab: Analyzing quantitative data exercise. 

 

Day 8: Qualitative/Quantitative  data integration & interpretation – Part 1 

Lecture: Part 1 lecture on various  ways the quantitative and qualitative data from mixed methods projects can be integrated and interpreted. 

Lab: Qualitative/Quantitative  data integration & interpretation, part 1 exercise. 

 

Day 9: Qualitative/Quantitative data integration & interpretation – Part 2 

Lecture: Part 2 lecture on various ways the quantitative and qualitative data from mixed methods projects can be integrated and interpreted. 

Lab: Qualitative/Quantitative  data integration & interpretation, part 2 exercise. 

 

Day 10: Writing and reporting mixed methods research 

Lecture: Writing up MMR and develop reports that describe the study design, methodology, and findings from a mixed methods study for peer-reviewed journals, theses/dissertations, grant proposals, etc.  

Lab: Writing and reporting mixed methods research exercise.