Rapid Sense Making
A Feasible, Efficient Approach for Analyzing Large Data Sets of Open-Ended Comments
Bibliographic Data
| ID | 2410643 |
|---|---|
| Authors | Rebecca S Etz (0000-0001-6906-7738), Martha M Gonzalez (0000-0003-2045-5080), Aimee R Eden, Jodi Winship (0000-0003-1125-0913) |
| Year | 2018 |
| Volume | 17 |
| Issue | 1 |
| Publication date | 2018-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Qualitative Methods (JOURNAL) |
| Journal identifiers | ISSN: 1609-4069 • E-ISSN: 1609-4069 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1609406918765509 |
| OpenAlex | W2807453945 |
| Language | EN |
| Citations received | 4 |
| References cited | 15 |
This article shares the problem-solving process and resultant rapid sensemaking methodology created by an interdisciplinary research team faced with qualitative 'big data.' Confronted with a data set of over half a million free text comments, within an existing data set of 320,500 surveys, our team developed a process to structure the naturally occurring variability within the data, to identify and isolate meaningful analytic units, and to group subsets of our data amenable to automated coding using a template-based process. This allowed a significant portion of the data to be rapidly assessed while still preserving the ability to explore the more complex free text comments with a grounded theory informed emergent process. In this discussion, we focus on strategies useful to other teams interested in fielding open-ended questions as part of large survey efforts and incorporating those findings as part of an integrated analysis
Axial coding · Coding (social sciences · Data science · Focus group · Grounded theory · Knowledge management · Process (computing · Qualitative research · Sensemaking · Set (abstract data type · Social science · Sociology · Theoretical sampling · Computational and Text Analysis Methods · Computer Science · Public Relations and Crisis Communication · Qualitative Research Methods and Applications
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |