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Examining population health across U.S. states using secondary data, logistic regression, and graphics / Jennifer Karas Montez.
- Format:
- Book
- Author/Creator:
- Montez, Jennifer Karas, author.
- Series:
- SAGE Research Methods Cases : Medicine and Health.
- SAGE Research Methods Cases: Medicine and Health
- Language:
- English
- Subjects (All):
- Public health--United States--Statistics.
- Public health.
- Population--Statistics.
- Population.
- Regression analysis--Case studies.
- Regression analysis.
- Physical Description:
- 1 online resource : illustrations.
- Other Title:
- Examining population health across United States states using secondary data, logistic regression, and graphics
- Place of Publication:
- London : SAGE Publications Ltd, 2020.
- Summary:
- Why is a person's education level one of the strongest predictors of how long and healthy they will live? Part of the explanation is that individuals with more years of schooling tend to have better economic circumstances, engage in healthy lifestyles, and have supportive social ties. However, a good part of the explanation remains unknown. This case study illustrates the process and challenges that our team experienced when conducting a research project to explore the association between education and health. It illustrates how we used theories from multiple disciplines to develop our research question. It describes how we collaborated and set clear expectations for the role of each researcher on the project. It highlights some of the challenges that we encountered when trying to find an appropriate secondary dataset to conduct the analysis and the criterion that we used to determine which dataset to use. The case study also emphasizes a critically important but often underappreciated aspect of research: effectively communicating the results using clear and compelling graphics. Finally, it explains some common criticisms of this type of research, including "reverse causation" and "selection," and the value of what researchers call "sensitivity analyses" to address those criticisms.
- Notes:
- Includes bibliographical references and index.
- Description based on XML content.
- ISBN:
- 1-5297-3599-8
- 9781529735994
- OCLC:
- 1151034730
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