April 11-14, 2022
Camp offered exclusively in online format
Ray Maietta · Alison Hamilton · Kevin Swartout
Are you feeling stuck as you analyze your qualitative data?
Would you like to learn a data-driven approach to qualitative analysis?
Do you want to learn analytic tools that will keep you more engaged in your qualitative work?
Join us at ResearchTalk’s Qualitative Data Analysis Camp, April 11-14, 2022.
Our Qualitative Data Analysis Camp fosters data-based decision-making, reflection and strategizing about your analysis approach with guidance from the ResearchTalk mentor team.
Our camp participants appreciate the opportunity to give themselves “permission” to spend time with their data, away from their busy work and family lives, with coaching from our team of experts.
Camp participants report feeling re-energized by learning how to truly be directed by data content using the Sort and Sift, Think and Shift method.
Take advantage of the opportunity to interact with fellow qualitative researchers analyzing data across a variety of disciplines.
Event Highlights, Organization and Flow
Event Organization and Flow
Alison B. Hamilton, Ph.D., M.P.H., a VA Research Career Scientist and Professor-in-Residence in the UCLA Department of Psychiatry and Biobehavioral Sciences, received her Ph.D. in medical and psychological anthropology from UCLA in 2002, and her M.P.H. in Community Health Sciences from UCLA in 2009.
Dr. Hamilton is the Director of the VA-funded EMPOWER (Enhancing Mental and Physical Health of Women through Engagement and Retention) Quality Enhancement Research Initiative (QUERI), focused on improving women Veterans’ health and health care through implementation science. She is the Chief Officer of Implementation & Policy at the VA Health Services Research and Development (HSR&D) Center for the Study of Healthcare Innovation, Implementation and Policy at the VA Greater Los Angeles Healthcare System, specializing in women Veterans’ health, mental health services research, and implementation science. She is also PI of a large-scale NIH study of enhancing organizational and individual readiness to address cardiovascular risk among individuals living with HIV. She was a fellow in the inaugural cohort of the NIMH/VA Implementation Research Institute and she serves as an Associate Editor for Implementation Science Communications and on the editorial boards of Implementation Science (BMC), Women’s Health Issues (Elsevier), and Implementation Research and Practice (Sage).
Dr. Hamilton has been a consultant with ResearchTalk for over 20 years, providing direct support to clients as well as serving as faculty for several of the Qualitative Research Summer Intensives and mentor at ResearchTalk’s Qualitative Methods Camps. At recent Intensives, she has taught courses on qualitative methods in implementation research, rapid qualitative research methods, qualitative grant-writing, qualitative interviewing, integrated mixed methods research, and enhancing the usefulness of qualitative research. Dr. Hamilton is a co-author on a recently published article that provides an overview of the Sort and Sift approach: “Sort and Sift, Think and Shift: Let the Data Be Your Guide: An Applied Approach to Working with, Learning from, and Privileging Qualitative Data” (https://nsuworks.nova.edu/tqr/vol26/iss6/20/). She is also a co-author on Dr. Ray Maietta’s Sort and Sift, Think and Shift (forthcoming, Guilford).
- “Systematic Procedures of Inquiry and Computer Data Analysis Software for Qualitative Research,” co-authored with John Creswell, in Handbook of Research Design and Social Measurement (2002, Sage)
- “State of the Art: Integrating Software with Qualitative Analysis” in Applying Qualitative and Mixed Methods in Aging and Public Health Research, edited by Leslie Curry, Renee Shield, and Terrie Wetle (2006, American Public Health Association and the Gerontological Society of America).
- “The Use of Photography As a Qualitative Research Method” in Visualizing Social Science, edited by Judith Tanur (2008, Social Science Research Council).
- “Qualitative Software” in the Sage Encyclopedia of Qualitative Research Methods, edited by Lisa Given (2008, Sage).
- “Integrating Qualitative and Quantitative Analysis with MAXQDA” in Journal of Mixed Methods (April 2008, Sage).
- “The Symbolic Value and Limitations of Racial Concordance in Minority Research Engagement”, co-authored with Craig S. Fryer, Susan R. Passmore, et al., in Qualitative Health Research (March 2015, Sage).
- Sort and Sift, Think and Shift (forthcoming, Guilford).
Kevin Swartout, Ph.D., is a Professor in the Department of Psychology with a secondary appointment in the School of Public Health at Georgia State University in Atlanta, GA. He earned his Ph.D. in Psychology from the University of North Carolina at Greensboro. His research focuses on social influence of harassment and violence, as well as trajectories of violent behavior and victimization across the lifespan. He has received early-career awards from the International Society for Research on Aggression, Southeastern Psychological Association, and Georgia State University.
Dr. Swartout has published numerous peer-reviewed research articles and frequently speaks at national and international conferences. He has been a qualitative research consultant with ResearchTalk Inc. for over ten years. In this capacity, he has regularly taught short courses on qualitative and mixed methods research and frequently serves as a scholar at ResearchTalk’s Qualitative Research Summer Intensive and as a mentor at ResearchTalk’s Qualitative Data Analysis Camps. Dr. Swartout is a co-author on a recently published article that provides an overview of the Sort and Sift approach: “Sort and Sift, Think and Shift: Let the Data Be Your Guide: An Applied Approach to Working with, Learning from, and Privileging Qualitative Data” (https://nsuworks.nova.edu/tqr/vol26/iss6/20/). He is also a co-author on Dr. Ray Maietta’s Sort and Sift, Think and Shift forthcoming publication.
Camp Contents: Overview of Sort and Sift, Think and Shift Approach
Sort and Sift, Think and Shift: A Multidimensional Approach to Qualitative Data Analysis
created by Ray Maietta, Alison Hamilton, Paul Mihas, Kevin Swartout and Jeff Petruzzelli
The Sort and Sift, Think and Shift qualitative data analysis approach, created by Ray Maietta and his consulting team at ResearchTalk Inc, is an iterative process, where analysts dive into data to understand its content, dimensions and properties, and then step back to assess what they have learned in order to bridge findings with current conversations in their field and to assess implications for practice. This process of “diving in” and “stepping back” is repeated throughout the analytic process. Researchers move from establishing an understanding of what is in the data to exploring their relationship to the data. To conclude, they arrive at an evidence-based meeting point that is a hybrid story of data content and researcher knowledge.
The Sort and Sift approach is defined by two key analytic shifts qualitative analysts must make over the course of their data work.
- Shift 1 occurs when analysts move their analytic plans from being driven by what they knew and thought before they collected and engaged with data to allowing data content to define analytic decision-making and directions.
- Shift 2 occurs as analysts move from processing individual data documents to giving careful thought and attention to what they will present and how this material will be presented to audiences.
Each phase of the Sort and Sift method features a toolkit to facilitate analytic activities. The “Diving In” toolkit features tools to use as you read, review, recognize and record your observations during data review.
- Quotation identification and data inventory – finding powerful quotations in your data and creating an inventory of powerful data segments for each data collection episode
- Diagramming as an analysis tool – using visual diagrams to think aloud about connections in data and ‘bridging’ key ideas in your analysis
- Memoing – writing for discovery
- Episode profiles – using diagrams and memos to create visual and written sketches of data collection episodes
- Topic monitoring – creating and managing topics, themes and attributes
The “Stepping Back” toolkit features tools to use as you reflect, re-strategize and re-orient after your “diving in” phases of analysis.
- Mining – mining through memos, topics, document summaries and episode profiles.
- Bridging – discovering connections within and across data documents.
- Story Evolution Tool – interrogating data to understand better how key actors, places, time periods, actions, attitudes and emotions interact in the lives of our participants.
- Concept Combination Tool – using the Sort and Sift tools to discern shared meaning across developing ideas.
- Reflection Tools – using memoing and diagramming techniques to help discover, understand and document important connections within and across data documents.
The iterative back and forth between these phases allows you to bridge emergent findings and concepts to conversations and practices currently engaged by your colleagues.
For more information, please see the article “Sort and Sift, Think and Shift: Let the Data Be Your Guide: An Applied Approach to Working with, Learning from, and Privileging Qualitative Data,” available at https://nsuworks.nova.edu/tqr/