Please note: This course will be delivered in person at the Colchester campus. Online study is not available for this course.

Camille R. Quinn, PhD, AM, LCSW, LISW-S, LMSW, is an associate professor of community engagement research in the School of Social Work at the University of Michigan (USA). She has taught research methods for more than five years and developed the first Mixed Methods Research course for doctoral students at The Ohio State University in 2019 and revised the doctoral level Mixed Methods Research course for undergraduate and graduate students at the University of Michigan in 2023. Dr. Quinn uses both mixed methods and community based participatory research to develop and tailor culturally responsive interventions for Black girls who are involved with the youth punishment system to enhance their mental health equity and crime desistance. Currently, she is the Principal Investigator of two National Institute of Health funded studies: Loan Repayment Program—LRP renewal award and an R21 grant. The LRP is investigating legal system-involved Black girls’ and their caregivers’ stress and protective factors. The R21 grant is a two-phase mixed methods study funded by the National Institute of Health (2R21MD016940-01A1). Phase I includes surveys and interviews from 10 Black girl-caregiver pairs to understand treatment barriers and adapt the intervention to meet participants’ needs. Phase II includes a test of the adapted intervention with 25 Black girl-caregiver pairs to assess if it is feasible, well-received, and effective. Participants will complete surveys at the start, right after the intervention (about 3 months later), and again 6 months later. We will measure PTSD symptoms (main focus) along with stress levels using cortisol from their hair, recidivism, racial identity, personal agency, and parent-child relationships. The study findings will be integrated based on the two types—quantitative and qualitative data. She is also the PI of a MacArthur Foundation Safety and Justice Challenge grant to promote criminal justice reform. Her newest project includes a modified mixed methods study of African girls residing in Michigan to assess their vulnerability to arrest. Dr. Quinn is a NIH LRP Ambassador and a Senior Scholar with the Center on Gender Justice & Opportunity at Georgetown University. She is a Society for Social Work Research Fellow, a 2023 Milestone Awardee from the University of Chicago Crown School of Social Work, Policy, and Practice (AM ’98) and a 2024 Innovation in Research and Teaching Awardee from the University of Michigan School of Social Work.

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?” “what is my ontological stance?” “what is my epistemological 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 and other assumptions, and paradigms 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, ontological, and epistemological stance(s) 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).

Required text (will be provided by ESS):

Watkins, D. C. & Gioia, D. (2015). Mixed methods research. Pocket Guides to Social Work Research Methods Series. Oxford University Press: New York, NY. ISBN 9780199747450.

Creamer, E. G. (2018). An introduction to fully integrated mixed methods research. SAGE Publications. ISBN 978-1506358605.

2025 Course Outline

Day 1: Introduction to mixed methods research & philosophical stance

Lecture: Define mixed methods research, how it fits into social science research methodology and methods, and why it is important. 

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

 

Day 2: A mixed way of thinking and conducting research; History of mixed methods, ethics, values, responsible conduct of research, and research with underserved groups

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 the language and notation used in mixed methods research. Name the mixed methods designs. Understand the procedures involved with choosing a mixed methods design, including 3 basic designs and 4 advanced frameworks: multistage, intervention, case study, participatory—community-based participatory research, and transformative.

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

 

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.