- When will the results be available?
- What is the sample design?
- What if I have any questions about the project or data?
- Will you prepare data sets for specific statistical packages (e.g., STATA)?
- Where can I find the study codebooks and questionnaires?
- How can I report what appear to be errors in the data?
- How can I learn how to use these data?
When and how will the results be available?
Data for the three main waves can be downloaded directly from ICPSR (NACDA): https://www.icpsr.umich.edu/web/ICPSR/studies/36975.
What is the sample design?
The sample is a longitudinal panel study with 3 waves, beginning in winter-spring 2015. It draws from a representative sample of 6 counties in the San Francisco Bay Area: San Francisco, Marin, Contra Costa, Alameda, Santa Clara and San Mateo. There are 2 age groups: 21-30 years old, and 50-70 years old, designed to capture cohorts where there are a number of life course transitions that might affect network composition. We begin with a total of 1200 respondents, half for each age group, and further divided up for urban, suburban and exurban regions. Three-quarters of the respondents were interviewed in person in wave 1, and one-quarter were given a special web survey. In the next two waves a portion of the FTF interviews was moved to the web survey pool. For more complete detail, see the Documentation page.
What if I have any questions about the project or data?
Please contact us by email at ucnets@berkeley.edu. We will endeavor to respond quickly to questions.
Will you prepare data sets for specific statistical packages (e.g., STATA)?
Researchers will be able to download programs to work with the data in STATA, SAS and SPSS.
Where can I find the study codebooks and questionnaires?
On the study Documentation page.
How can I report what appear to be errors in the data?
Contact us at ucnets@berkeley.edu
How can I learn how to use these data?
Users have found the documentation and the data sets to be quite clear to use for those accustomed to working with survey data. If you have any questions, please contact us at ucnets@berkeley.edu