Implementing QDAS Throughout an Evaluation Project Using the Five-Level QDA Method

Abstract

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.