Publication
Comparison of abortion incidence estimates derived from direct survey questions versus the list experiment among women in Ohio
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- Persistent URL
- Last modified
- 05/22/2025
- Type of Material
- Authors
- Language
- English
- Date
- 2022-06-03
- Publisher
- Public Library of Science (PLoS)
- Publication Version
- Copyright Statement
- © 2022 Hood et al
- License
- Final Published Version (URL)
- Title of Journal or Parent Work
- Volume
- 17
- Issue
- 6
- Grant/Funding Information
- This study was funded by a grant from a philanthropic foundation that makes grants anonymously. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- Supplemental Material (URL)
- Abstract
- Abortion is highly stigmatized in the United States which prevents its accurate measurement in surveys. The list experiment aims to improve the reporting of abortion history. We evaluated whether a list experiment resulted in higher reporting of abortion experiences than did two direct questions. Utilizing data from a representative survey of adult women of reproductive age in Ohio, we examined abortion history using two direct questions and a double list experiment. Through the double list experiment, we asked respondents to report how many of two lists of health items they had experienced; one list included abortion. We compared weighted history of abortion between these measures and by respondent demographic characteristics (age and socioeconomic status). Estimates of abortion history were similar between direct and list experiment questions. When measured with the two different direct question of abortion history, 8.4% and 8.0% of all respondents indicated ever having an abortion and with the list experiment, 8.5% indicated ever having an abortion. In a Midwestern state-level survey, the list experiment did not lead to increases in abortion reporting as compared to the direct questions. Subgroup analyses require larger samples, and future iterations should incorporate related but non-stigmatized control items to reduce misclassification and under-powering of such subgroup analyses.
- Author Notes
- Keywords
- Research Categories
- Health Sciences, Epidemiology
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