Implementing QDAS Throughout an Evaluation Project Using the Five-Level QDA Method
Bibliographic Data
| ID | 12470577 |
|---|---|
| Authors | Kyle L Bower (0000-0001-6043-356X, Impact Evaluation Unit, University of Georgia, Athens, GA, USA, corresponding author) |
| Year | 2021 |
| Volume | 43 |
| Issue | 4 |
| Pages | 620-631 |
| Publication date | 2021-08-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Evaluation (JOURNAL) |
| Journal identifiers | ISSN: 1098-2140 • E-ISSN: 1557-0878 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/10982140211027952 |
| OpenAlex | W3194479917 |
| Language | EN |
| References cited | 8 |
The purpose of this paper is to introduce the Five-Level Qualitative Data Analysis (5LQDA) method for ATLAS.ti as a way to intentionally design methodological approaches applicable to the field of evaluation. To demonstrate my analytical process using ATLAS.ti, I use examples from an existing evaluation of a STEM Peer Learning Assistant program. Aligned with the 5LQDA method for ATLAS.ti, I first contextualize the strategies used to develop the analytical framework (Levels 1 & 2) and then deconstruct the translation process (Level 3) of pairing conceptual strategies with software tools. I then demonstrate the potential of the software in terms of selected and constructed tools (Levels 4 & 5) and discuss the importance of choosing tools aligned with the project's conceptual strategies. This paper acts as a resource to convey the value of integrating 5LQDA for ATLAS.ti throughout qualitative evaluation by engaging in an iterative process that creates opportunity for engagement
Atlas (anatomy · Iterative and incremental development · Management science · Process (computing · Resource (disambiguation · Software engineering · Computer Science · Engineering · Evaluation and Performance Assessment · Qualitative Comparative Analysis Research · Qualitative Research Methods and Applications · Software
| Highly cited | No |
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