Using online secondary data to conduct research : the AGE-ADAR scholars program /

As the United States becomes more racially and ethnically diverse, it is important that scientists, researchers, and practitioners also represent this increased diversity. One way to attract and retain minoritized students to apply their expertise to solve the problems via research is to provide the...

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Bibliographic Details
Main Authors: Hicks-Patrick, Julie (Author), Rusch, Amber V. (Author), Riffey, Logan S. (Author), Carter, Keshawn L. (Author)
Format: eBook
Language:English
Published: London : SAGE Publications, Ltd., 2022.
Series:SAGE research methods: doing research online.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:As the United States becomes more racially and ethnically diverse, it is important that scientists, researchers, and practitioners also represent this increased diversity. One way to attract and retain minoritized students to apply their expertise to solve the problems via research is to provide them with meaningful and successful research experiences. We describe the research experience presented to students in the 6-week summer portion of the Appalachian Gerontology Experiences: Advancing Diversity in Aging Research (AGE-ADAR) Scholars Program. Students posed hypotheses related to aging and health disparities in Appalachia and then tested those hypotheses using a publicly available national data set. We focused on the data provided by the Centers for Disease Control and Prevention and the Behavioral Risk Factor Surveillance System (BRFSS). Readers of this case study should acquire a working knowledge of the BRFSS surveys and specific step-by-step instructions on how to implement analyses within the Web-Enabled Analysis Tool (WEAT). In this case study, we briefly describe the AGE-ADAR Program and its structure. Then we provide three walk-through examples of how students can use the WEAT app with the BRFSS data to answer their own research questions. Specifically, users of WEAT are able to conduct simple cross-tabulations, layered cross-tabulations, and logistic regressions within a large and current national data set. AGE-ADAR scholars were able to quickly test their own research hypotheses in current data from the US Census and to share these research findings at a research symposium on campus.
Physical Description:1 online resource.
ISBN:9781529602166
1529602165