Sustaining Engineering Education Research: Sharing Qualitative Research Data For Secondary Analysis

Authors

Jennifer CASE, Virginia TechFollow
Holly MATUSOVICH, Virginia TechFollow
Marie PARETTI, Virginia TechFollow
Susan LORD, University of San DeigoFollow
Lisa BENSON, Clemson UniversityFollow

Document Type

Conference Paper

Abstract

The need for secondary data analysis practices emerges from multiple sources. Qualitative researchers often have rich data sets that far exceed the time available for data analysis, and many of us wish that someone could spend more time with the data. We also recognize that local data sets would benefit from further analysis that linked our data with related data collected in different contexts. Many also grapple with increasing data sharing requirements from funding agencies that raise concerns about participant confidentiality and data integrity. This workshop provides a chance to explore potential responses to these concerns through a robust dialogue around secondary data analysis practices and pitfalls.

DOI

https://doi.org/10.21427/C9YX-SV75

Recommended Citation

Case, J., Matusovich, H., Paretti, M., Lord, S., & Benson, L. (2023). Sustaining Engineering Education Research: Sharing Qualitative Research Data For Secondary Analysis. European Society for Engineering Education (SEFI). DOI: 10.21427/C9YX-SV75

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.