132: Qualitative Analysis Boot Camp VIII: Theorizing from Qualitative Data Using Analytical Artifacts (12045)

Friday, August 9, 2024

12:30 – 15:30 CT (GMT-5/UTC-5)

Location: Fairmont: Regent Room

Session Number: 132
PDW (workshop)
Orientation: Research
Shareable link: https://cdmcd.co/bRpWwJ

Organizer(s)

TK

Tine Koehler

U. of Melbourne, Australia

Presenter(s)

TR

Trish Reay

U. of Alberta, Canada
AS

Anne D. Smith

U. of Tennessee, Knoxville, United States
EV

Eero Vaara

U. of Oxford, United Kingdom
AW

Andrea Whittle

Newcastle U. Business School

Facilitator(s)

JB

Janelle Bremer

U. of Tennessee, Knoxville, United States
RE

Rehab Elkhiyat

-, United States
AH

Ava Haddox

-, United States

Organizer(s)

JL

Jane Kirsten Le

WHU Otto Beisheim School of Management, Germany
AS

Anne D. Smith

U. of Tennessee, Knoxville, United States

Presenter(s)

KG

Karen Golden-Biddle

Boston U. Questrom School of Business, United States
PH

Paul Hibbert

Warwick Business School, United Kingdom
CH

Christina Hoon

Bielefeld U., Germany
SK

Sarah Kaplan

U. of Toronto, Canada
AL

Ann Langley

HEC Montreal, CANADA
MP

Michael G. Pratt

Boston College, United States

This PDW will help researchers develop and expand their qualitative data analysis skills. While previous bootcamps have focused on coding data, this session focuses on intermediate processes using “analytic artifacts” during qualitative data analysis. Data analysis with analytic artifacts offers a different approach to qualitative analysis, one that translates knowledge from raw data into observed patterns or networks of relationships and helps derive theoretical insights. Our PDW opens up the discussion of the practice and relevance of analytic methods that go beyond textual coding and its limitations. The session will begin with a panel of experienced qualitative scholars who will discuss their analysis process and use of analytic artifacts during the analysis process, zooming in on the practical nature of the process, followed by ample time for questions from the audience. The second half of the session will be spent in round tables working through ways to explore the data through analytical artifacts to generate early theoretical ideas. We will discuss implications for meaningful theorizing using this analytic approach.

Please use the following link to register for this session: https://utk.co1.qualtrics.com/jfe/form/SV_bQJm1YoTkovKUey