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Dissertations Content Analysis Data Set, "Diving Deep into Dissertations" article, College & Research Libraries
Swygart-Hobaugh, Mandy J. ; Anderson, Raeda ; George, Denise ; Glogowski, Joel
Swygart-Hobaugh, Mandy J.
Anderson, Raeda
George, Denise
Glogowski, Joel
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Abstract
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.
Description
Raw data file – Microsoft Excel format
NVivo Text Search Queries for Software - Excel format
Raw data file – IBM SPSS Statistics format
NVivo Text Search Queries for Software - Excel format
Raw data file – IBM SPSS Statistics format
Date
2021-01-01
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Keywords
research data services, graduate students, dissertation content analysis
Citation
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].