We present findings from an exploratory quantitative content analysis case study of 156 doctoral dissertations from Georgia State University that investigates doctoral student researchers’ methodology practic es (used quantitative, qualitative, or mixed methods) and data practices (used primary data, secondary data, or both). We discuss the implications of our findings for provision of data support services provided by the Georgia State University Library’s Res earch Data Services (RDS) Team and subject liaison librarians in the areas of instructional services, data software support and licensing advocacy, collection development, marketing/outreach, and professional development/expansion.
Swygart-Hobaugh, M., Anderson, R., George, D., & Glogowski, J. (2022). Dissertations Content Analysis Data Set, "Diving Deep into Dissertations" article, College & Research Libraries (November 2022, vol. 83, issue 6) [Data set].
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Raw data file – Microsoft Excel format
Diss_Study_CRLarticle_NVivo_Text_Search_Queries_for_Software.xlsx (16 kB)
NVivo Text Search Queries for Software - Excel format
Diss_Study_CRLarticle_SPSS_Data.sav (24 kB)
Raw data file – IBM SPSS Statistics format