2014 Abortion Patient Survey
Principal Investigator(s): View help for Principal Investigator(s) Rachel K. Jones, Guttmacher Institute
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
Guttmacher 2014 APS.dta | application/x-stata-dta | 2 MB | 11/19/2015 07:41:AM |
Guttmacher 20145 APS user guide and codebook.docx | application/vnd.openxmlformats-officedocument.wordprocessingml.document | 37.7 KB | 10/03/2019 08:52:AM |
Guttmacher 2015 APS questionnaire module a.pdf | application/pdf | 171.7 KB | 03/11/2022 07:27:AM |
Guttmacher 2015 APS questionnaire module b.pdf | application/pdf | 80.7 KB | 08/07/2019 10:47:AM |
Project Citation:
Jones, Rachel K. 2014 Abortion Patient Survey . Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-03-31. https://doi.org/10.3886/E163962V1
Project Description
Summary:
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The 2014
Abortion Patient Survey was the Guttmacher Institute’s fifth in a series and
uses a design and questionnaire similar to the four earlier studies, which were
conducted in 1987, 1994–1995, 2000–2001 and 2008. The data are from a
nationally representative sample of women obtaining non-hospital abortions in
2014. A total of 8,380 abortion patients provided information about the
demographic characteristics of age, race and ethnicity and educational attainment,
as well as contraceptive use in the month they became pregnant, health
insurance coverage during the time period of the abortion, how they were paying
for abortion services, foreign-born status, and how long ago they made the
appointment.
Scope of Project
Subject Terms:
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abortion;
abortion clinics;
birth control;
family planning;
health services utilization;
medicaid;
pregnancy
Geographic Coverage:
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United States
Time Period(s):
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1/1/2014 – 12/31/2014
Collection Date(s):
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4/1/2014 – 6/30/2015
Universe:
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Women
who obtained an abortion in the United States
Data Type(s):
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survey data
Methodology
Response Rate:
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During fielding periods, participating facilities reported
providing a total of 11,024 abortions. Usable surveys were returned from 8,380
patients, for a response rate of 76%.
Sampling:
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Participating facilities were sampled from the universe of
all known abortion-providing facilities as of 2011, according to information
obtained from the Guttmacher Institute’s 2011 Abortion Provider Census, and
excluding hospitals and those facilities that provided fewer than 30 abortions
in 2011. The universe was stratified by facilities’ 2011 annual caseload of
abortions (30–399; 400–1,999; 2,000–4,999; and 5,000 or more), and by whether
they were affiliated with national organizations for women’s reproductive
health. Within each stratum, facilities were organized by census region and
state. Next, we systematically sampled facilities from each stratum by
selecting them at specified intervals within the list; the interval varied by
stratum. Facilities with the largest caseloads were oversampled to ensure a
diverse representation of facility types within the sample. Selected facilities
were then recruited and assigned to a survey period that was inversely proportional
to the probability of being selected, ranging from two weeks for the largest
facilities to 12 weeks for the smallest. During this period, facility contacts
were asked to administer the questionnaire to all patients obtaining an
abortion on the day of their procedure; in the case of multiday procedures,
questionnaires were administered on the first day.
Collection Mode(s):
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on-site questionnaire
Weights:
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We employed a three-stage weighting process to correct for
any bias produced by deviation from the original sampling plan and patient
nonresponse. First, individual weights were developed to adjust for the
demographic characteristics of the 1,066 nonrespondents for whom facility staff
provided information. Second, facility-level weights adjusted for the other
1,578 nonrespondents for whom no demographic data were available. Third,
stratum weights were constructed to correct for departures from the number of
facilities to be sampled in each grouping by caseload and provider type. The
main weight variable is weight3.
To obtain accurate standard errors, most analyses should also account for the
fact that the sample was stratified by using the stratum variable, strata.
Unit(s) of Observation:
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Individuals
Geographic Unit:
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State
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