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Vonna L. Hemmler; Allison W. Kenney; Susan Dulong Langley; Carolyn M. Callahan; E. Jean Gubbins; Shannon Holder – Grantee Submission, 2022
Though qualitative research has become more prevalent in practice over the last 30 years, there is still considerable uncertainty among researchers regarding how to ensure inter-rater consistency when teams are tasked with coding qualitative data. In this article, we offer an explanation of a methodology our qualitative team used to achieve…
Descriptors: Interrater Reliability, Coding, Guides, Data Collection
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Samantha Fu; Charles Davis; Jesse Rothstein; Aparna Ramesh; Evan White – Grantee Submission, 2022
Linking data together can be a powerful way for governments and researchers alike to tackle vexing public policy research problems. However, for researchers, finding ways to link data directly between two departments can often be more challenging than even obtaining the data in the first place. Even when a researcher develops the necessary…
Descriptors: Data Use, Research Methodology, Researchers, Privacy
Atsushi Miyaoka; Lauren Decker-Woodrow; Nancy Hartman; Barbara Booker; Erin Ottmar – Grantee Submission, 2023
More than ever in the past, researchers have access to broad, educationally relevant text data from sources such as literature databases (e.g., ERIC), an open-ended response from online courses/surveys, online discussion forums, digital essays, and social media. These advances in data availability can dramatically increase the possibilities for…
Descriptors: Coding, Models, Qualitative Research, Focus Groups
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Sao Pedro, Michael A.; Baker, Ryan S. J. d.; Gobert, Janice D. – Grantee Submission, 2013
When validating assessment models built with data mining, generalization is typically tested at the student-level, where models are tested on new students. This approach, though, may fail to find cases where model performance suffers if other aspects of those cases relevant to prediction are not well represented. We explore this here by testing if…
Descriptors: Educational Research, Data Collection, Data Analysis, Generalizability Theory