Spring 2020
Advances in mixed methods analysis and integration
Presented by Michael D. Fetters, MD, MPH, MA and Daphne C. Watkins, PhD, Michigan Mixed Methods Program, University of Michigan
Purpose of Workshop:
Researchers use mixed methods to investigate a topic of interest with qualitative and quantitative methodologies, methods, and data. However, despite the popularity of mixed methods, few workshops provide opportunities for researchers to explore mixed methods beyond surface level analysis and integration techniques. This workshop, facilitated by two leading mixed methods authors and teachers in the field, aims to demonstrate advances in mixed methods research and assist participants with incorporating mixed methods analysis and integration procedures into their projects. The workshop will include focused didactic presentations alternating with real-time work by participants. Participants will apply workshop concepts by presenting their work and critiquing the work of others.
What to Expect:
Prerequisite Knowledge:
All participants should complete advance preparatory materials. Participants should bring their own data if available. For those without data, sample data will be available.
Researchers use mixed methods to investigate a topic of interest with qualitative and quantitative methodologies, methods, and data. However, despite the popularity of mixed methods, few workshops provide opportunities for researchers to explore mixed methods beyond surface level analysis and integration techniques. This workshop, facilitated by two leading mixed methods authors and teachers in the field, aims to demonstrate advances in mixed methods research and assist participants with incorporating mixed methods analysis and integration procedures into their projects. The workshop will include focused didactic presentations alternating with real-time work by participants. Participants will apply workshop concepts by presenting their work and critiquing the work of others.
What to Expect:
- Day 1: Participants will review integration features of their design, conduct a data inventory to prepare for integration, identify their mixed methods sampling strategies, determine their data collection integration strategies, and create a joint display for data collection planning.
- Day 2: Participants will review and apply seven steps of mixed methods data analysis, and apply the skills of joint display analysis.
- Day 3: Participants will explore processes to move beyond descriptive mixed data analysis by drawing deeper inferences through higher-order theory building, and examining processes that involve or generate a change in the structure of the data form to engage in extensive change and exchange between the two types of data. Participants will develop a mixed methods analysis and integration proposal that will be presented using a poster-style format.
- Outcome: Participants will learn and incorporate cutting edge mixed methods data analysis procedures into their own mixed methods research and evaluation projects.
Prerequisite Knowledge:
All participants should complete advance preparatory materials. Participants should bring their own data if available. For those without data, sample data will be available.
REGISTRATION FEE:
- $1,200 (student/U-M Social Work, IHPI, MMP, and DFM member rate $900*)
- The registration fees include your attendance to the 2.5 day interactive workshop, direct feedback from the workshop instructors on your project, workshop documents in an online folder, breakfast and lunch.