Data for: Teaching with Shared Data for Learning Qualitative Data Analysis: A Multi-Sited Case Study of Instructor and Student Experiences

<h3> Project Overview</h3>
<p>This study investigates the teaching methods used by two instructors of qualitative research methods at two different academic institutions (Site A and Site B) to integrate data analysis instruction into their curricula. Situated within the theoretical frameworks of active learning, this work draws upon contemporary scholarship that underscores the importance of student engagement through hands-on analytical activities. We specifically focus on the concept of “shared data” – defined as data collected or archived by others, such as datasets sourced from online repositories or anonymized collections prepared by educators for teaching demonstrations – and examine how these resources are utilized. Employing a qualitative case-study design, this project analyzes how each instructor leverages shared data differently to facilitate skill-building in qualitative data analysis, specifically considering both an introductory and advanced context. By juxtaposing these instructional practices, this study offers insights into the nuanced applications of shared data in qualitative research education and highlights the role of data type, course level, and instructional environment in shaping students’ analytical competencies.</p>