Data to Build a Culture of Health (HMCA) (August 4-6)
Instructors: Carolyn Miller, Robert Wood Johnson Foundation; Katherine Carman, RAND; Alyssa Ghirardelli, NORC; Megan Chenoweth, University of Michigan
This three-day workshop will support participants in planning and conducting secondary data analysis using data sets from the Health and Medical Care Archive (HMCA). Our health is greatly influenced by complex factors such as where we live, and the strength of our families and communities. But despite knowing this, positive change is not occurring at a promising pace. The Robert Wood Johnson Foundation is working alongside others to build a Culture of Health providing everyone in America a fair and just opportunity for health and well-being.
Sessions will include an overview of the Culture of Health framework followed by an in-depth discussion of datasets using this framework: the National Survey of Health Attitudes and the American Health Values Survey. The National Survey of Health Attitudes was developed to gauge people’s perceptions of health and measure progress toward a Culture of Health in the United States. The American Health Values Survey was designed to better understand the extent to which health is a shared value in the United States and to create a typology based on health values and beliefs. Please see the survey links for more details. The third day will focus on using contextual measures that are theoretically derived and relevant for clinical, social, and psychological health and healthy aging outcomes from the National Neighborhood Data Archive (NaNDA). Each afternoon will include hands-on workshop sessions that include one-on-one consultation for conducting your own research. Early career participants are especially encouraged to apply. Participants will be using their own laptops.
For more information about HMCA, visit icpsr.umich.edu/HMCA
Prerequisites: Substantive interest in health-related research. Familiarity with large health-related datasets, experience utilizing codebooks to understand the purpose and use of a dataset, and experience defining and operationalizing research questions. Working knowledge of a major statistical software packages such as SPSS, Stata, SAS, or R will be required for understanding course examples.
Application: Enrollment is limited to 25 participants.
Apply using the Summer Program Portal to provide your information, select the course, and complete the section on your quantitative/analytic goals (including the products you hope to generate). Also, upload the following documents via the Portal:
Current curriculum vita
Cover letter summarizing research interest in this course and related research experiences
Include your research question
Identify which statistical package(s) you plan to use for the course
Application Deadline: June 30, 2020.
Registration Fee: There is no registration fee for accepted participants.