The application of sample overlap control to surveys of mothers and fathers in Ohio
Abstract Number:
3854
Submission Type:
Contributed Abstract
Contributed Abstract Type:
Paper
Participants:
Jamie Ridenhour (1)
Institutions:
(1) RTI International, N/A
First Author:
Presenting Author:
Abstract Text:
Sample overlap control methods like Keyfitz have long been used in establishment surveys to solve the problem of sampling for two or more surveys for the same or different target populations from one list frame. In establishment surveys, they are commonly used to maximize overlap between two or more samples. Our application of the Keyfitz methodology, we sampled people rather than institutions, with the goal of minimizing overlap. The Ohio Pregnancy Assessment Survey (OPAS) and the Ohio Fatherhood Survey (OFS) target parents of a live born infant who is 2-6 months old at sampling to understand pre-natal, natal, and post-partum outcomes. OPAS is similar to CDC's Pregnancy Risk Assessment Monitoring System (PRAMS) as it uses many PRAMS questions and its target population is mothers of these infants. OFS, also based on the PRAMS, started collecting data from fathers in 2022. The sampling frame for both OPAS and OFS is birth certificate information from Vital Statistics, but we did not want to overly burden families by selecting both parents of an infant. We discuss the logistics of implementing sample overlap control and the potential impacts on stratum size and design weights.
Keywords:
Sampling|Sample design|Frame|Overlapping frames|Survey methods|
Sponsors:
Survey Research Methods Section
Tracks:
Sample Design
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