April 15-18, 2019
Los Angeles, CA
Are you feeling stuck as you analyze your qualitative data?
Do you want to be more engaged in your qualitative work?
Do you need to prioritize your qualitative data analysis project?
Join us at ResearchTalk’s Qualitative Data Analysis Camp, April 15-18, 2019.
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
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.