Understanding How Personal Networks Change: Wave 1 (ICPSR 36975)

Version Date: Jan 31, 2018 View help for published

Principal Investigator(s): View help for Principal Investigator(s)
Claude S. Fischer, University of California, Berkeley

https://doi.org/10.3886/ICPSR36975.v1

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  • V2 [2020-07-22]
  • V1 [2018-01-31] unpublished

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Additional information about this collection can be found in Version History.

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:

  • Fischer, Claude S. Understanding How Personal Networks Change: Wave 1. ICPSR36975-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-01-31. http://doi.org/10.3886/ICPSR36975.v1

2018-01-31 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.

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The University of California Social Networks Study

Understanding How Personal Networks Change: Wave 1 (UCNets) is the University of California Berkeley Social Networks Study, a longitudinal study with the objective of understanding how network composition changes over time as a result of life course transitions - e.g., graduation, marriage, retirement or widowhood - and how these changes are related to health status and outcomes. Using mostly addressed-based sampling from six San Francisco bay area counties, the study recruited participants in two age groups (cohorts) - 21-30 year-olds and 50-70 year-olds -- to maximize the possibility of experiencing a life transition. There are 3 waves of interviewing. Two have been completed (winter 2015-2016, and winter-spring 2017) and a third will commence in spring 2018. In Wave 1, the majority of respondents completed a face-to-face interview, with the rest filling out a comparable web survey. The survey contains items regarding households, personal networks, family milestones, employment, health status and behavior, personality and demographic characteristics.

Fischer, Claude S. Understanding How Personal Networks Change: Wave 1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-01-31. https://doi.org/10.3886/ICPSR36975.v1

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United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (R01AG041955-01)

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Inter-university Consortium for Political and Social Research
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2015 -- 2016
2015-04 -- 2016-01
  1. For additional information on the Understanding How Personal Networks Change study, please visit the UCNets Web site.
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Using an address-based sampling (ABS), potential respondents were sent a letter inviting them to participate in the survey. The letter directed them to call a toll-free number or visit a website to take a screener survey to confirm age group, as well as randomize the selection by age group and within age group. Then qualifying respondents were randomly selected such that 3 out of 4 were directed to a face-to-face (FTF) survey and the others to a web survey.

Longitudinal: Panel

Adults in two cohorts, age 21-30 and 50-70 years old at the time of enrollment.

Individual

Among the older population, the cumulative response rate was about three percent .

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2018-01-31

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • Fischer, Claude S. Understanding How Personal Networks Change: Wave 1. ICPSR36975-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-01-31. http://doi.org/10.3886/ICPSR36975.v1

2018-01-31 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Checked for undocumented or out-of-range codes.
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There are two variables for each case. The first weight (variable WEIGHT_DEMO in both datasets) matches the conjoint sociodemographic distributions of six attributes in the sample to that of the six Bay Area counties (using the 2014 American Community Survey) for each age group. The second weight (WEIGHT_DEMO_LOC in Dataset 1) adds to that calculation adjustments for the sampling strata. Other weight variables include WT_DEM_95R (in both datasets) and WT_DEM_99R (in Dataset 1) which represent the variable WEIGHT_DEMO trimmed by 5% and 1%, respectively.

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