Qualitative Data
Analysis Camp

Qualitative Data
Analysis Camp

November 9-12, 2020
Offered exclusively in online format

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, November 9-12, 2020.

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 Details

Event Highlights, Organization and Flow

Event Highlights

  • Three qualitative mentors with over 50 years’ combined experience in qualitative analysis:
    The ResearchTalk Team
    • Raymond C. Maietta, Ph.D.
    • Alison Hamilton, Ph.D.
    • Kevin Swartout, Ph.D.
  • Gain expertise in ResearchTalk’s Sort and Sift, Think and Shift method, which will allow you to enhance your qualitative data analysis strategies while making progress on your analysis and analysis planning
  • Ideal setting for research teams and individual researchers
  • Low student-teacher ratios

Event Organization and Flow

  • Our mentors will co-teach the Sort and Sift, Think and Shift approach via open lecture/discussion format
  • Day 1 begins with overview and introduction
  • As the camp progresses we will enrich student understanding of these topics according to learning that emerges throughout the event
  • The schedule will be structured to facilitate independent work periods when participants apply course content to their data
  • The schedule is necessarily flexible as it will be built according to the skill level and priority needs of attendees

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.

  1. 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.
  2. 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.

  1. Quotation identification and data inventory – finding powerful quotations in your data and creating an inventory of powerful data segments for each data collection episode
  2. Diagramming as an analysis tool – using visual diagrams to think aloud about connections in data and ‘bridging’ key ideas in your analysis
  3. Memoing – writing for discovery
  4. Episode profiles – using diagrams and memos to create visual and written sketches of data collection episodes
  5. 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.

  1. Mining – mining through memos, topics, document summaries and episode profiles.
  2. Bridging – discovering connections within and across data documents.
  3. 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.
  4. Concept Combination Tool – using the Sort and Sift tools to discern shared meaning across developing ideas.
  5. 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.

Daily Schedule

Monday, November 9

  • 10:00 am – 5:00 pm Eastern: Camp sessions

Tuesday, November 10

  • 10:00 am – 5:00 pm Eastern: Camp sessions

Wednesday, November 11

  • 10:00 am – 5:00 pm Eastern: Camp sessions

Thursday, November 12

  • 10:00 am – 1:00 pm Eastern: Camp sessions

What to Expect Prior to the Camp

  • After registration you will receive a participant survey that asks for detail on your current work and the qualitative data you will use at the camp.
  • We will ask you to send sample data for our review. Note that we assume confidentiality in this process. If you require, we will sign confidentiality agreements you provide.
  • We will send you a brief list of suggested analysis goals to achieve before the camp.

Data Use and Qualitative Software

Data Use

  • We strongly advise that you work with your own data.
    • You will benefit from applying points of learning and advice directly to your own data.
    • At minimum, we advise that you have 3 – 5 qualitative data collection pieces available for you to engage with the camp. We do not expect or require you to have all data collected
  • If you do not currently have an available dataset, ResearchTalk can provide data for you to work with during the camp.

Qualitative Software

  • You are welcomed, but not required, to use qualitative software during the data analysis camp.
  • If you use software at the camp, you will be expected to have a licensed or demo version of the software package of your choice loaded on your computer.
  • It is expected that you have basic competence with the qualitative software program of your choice. Basic competence includes skill in data import and management, code creation, application and retrieval, memo-writing skills, diagramming and question and answer functions (e.g. filtering, co-occurrence).

Registration and Pricing

Early Registration

  • Early Registration ends September 28, 2020
  • The early registration fee is $850.00
  • Your seat is not officially held until payment is received in full.

Standard Registration

  • Standard Registration ends October 27, 2020
  • The standard registration fee is $975.00
  • Your seat is not officially held until payment is received in full.

Registration Notes

  • All payments should be made to “ResearchTalk”
  • Seats for courses are not officially held until payment is received in full
  • If full payment is not received the day before courses begin, your registration will be cancelled and you will not be able to attend courses
  • Single day attendance is not accommodated.
  • 10% Discount for Students – use Discount Code “RT-Student10”
    Student discount cannot be combined with any other discount offers
  • Working with a research team?
    3 or more people can register at a 33% discount per person off current registration pricing!
    • Note: Each person must be working on the same project. Team mentor meetings will be held together with the entire team rather than one-on-one with individual team members.
    • This offer cannot be combined with other discounts.
    Email info@researchtalk.com for registration and payment procedures.