The Survey of the Health of Wisconsin (SHOW) has been collecting data annually since 2008. The data and biosamples are made available to qualified investigators and organizations to support cutting-edge research and discoveries that aim to improve health. SHOW also has capabilities of analyzing data upon request. We work with partners to ensure all human subject protections are properly in place before sharing data.
Explore SHOW codebooks before requesting data to learn about SHOW's questionnaires, variables and derived variables. They are organized by health topic and by instrument for each survey year. The full text of the questions and the frequencies of the response options can be found for each instrument. The codebook section is password protected; follow this link to have a password automatically sent to you by email.
Please complete the request form listed below that fits your planned SHOW data use and submit to email@example.com. If you have any questions, SHOW staff are happy to assist you in completing and reviewing forms before submission.
Every data request must be approved SHOW executive committee. Please allow up to two weeks for approval of your request and up to two weeks to receive data. IRB approval or exempt status is required prior to having access to SHOW data. IRB approval is not needed for summary data. We are happy to discuss IRB approval under the SHOW protocol for manuscripts, student projects and for exploratory analyses.
Data for exploratory analysis
You can request data for preliminary or exploratory analysis to determine if SHOW has data you need for your project. Let us know what topics you are interested in, what your hypothesis is and we can help you navigate through SHOW codebooks and create a summary report specific for your project. We recommend doing an exploratory analysis or requesting summary data before submitting a manuscript proposal.
Data for manuscripts
If you are ready to write a manuscript that is based on SHOW data, please submit a SHOW manuscript proposal and data request form. We will ask you to provide the rationale for your manuscript and hypothesis to be addressed. We encourage at least one member of the SHOW science team to be added to the writing group. The SHOW Publication Committee reviews the science proposed and for any duplication
of research questions amongst proposals submitted.
Data for student projects
If you are a graduate student, SHOW is an excellent resource for your project or thesis. We require that you have a SHOW mentor who will provide guidance on analytic methodology when using SHOW data. If you need assistance matching your interests with a SHOW mentor, please contact us at firstname.lastname@example.org. SHOW data are also available for classroom projects.
Data for grant application
You can request data for preliminary analyses for your grant application. Please contact us if you would like to discuss a project with us or if you would like to inquire about additional services we may provide to support your application. Please allow sufficient time for creating datasets and analysis.
These guidelines provide direction for analysis of SHOW data. They explain the complex sample survey and weighting methodology, and provide advice on how to use sample weights for descriptive statistics, as well as for more complex analyses.
SHOW uses a complex, probability sampling approach (see sampling strategy in survey overview) when identifying households to visit each year. This is in order to meet SHOW’s goals in providing representative data for following health and health determinants in Wisconsin.
In order to provide unbiased estimates for the target population, SHOW generates sample weights that accompany each data point. These reflect the sample design (probability of selection), adjustment for nonresponse and post-stratification adjustment to bring the sample back to being representative of the target population based on a few demographic variables. Sample weights are generated for each person for each phase of data collection: the in-home questionnaire visit, the self-administered questionnaire phase and the sample collection visit.
In order to generalize findings to the target population and for proper, unbiased estimates and standard errors of estimates of the target population, sampling weights and the stratification and clustering of SHOW’s survey design should be incorporated into the analysis. Ignoring the complex design can lead to biased estimates and overstated significance levels. More details on guidance are available from the SHOW Data Team, including syntax examples for incorporating weights and design features in certain procedures in SAS and Stata.
SHOW in 2017 is following individuals over-time, therefore longitudinal analysis for a subset of SHOW adults with prior participation in 2008-13 will also be available.
There may be some analyses where sampling weights may not be necessary. For questions or for guidance on using SHOW data, please contact the SHOW data team at email@example.com.