Can someone be both pro-life and pro-choice? Results from a national survey of US adults

Kathryn J. LaRoche,Kristen N. Jozkowski, Brandon L. Crawford,Frederica Jackson

PERSPECTIVES ON SEXUAL AND REPRODUCTIVE HEALTH(2024)

引用 0|浏览0
暂无评分
摘要
"Pro-life" and "pro-choice" are closely associated with discussions about abortion; we refer to the extent that people identify with these terms as "abortion identity." Most polling measures present pro-life and pro-choice as mutually exclusive options, but there is a dearth of information about people who might simultaneously endorse both (or neither) labels. Method: We administered a survey to adults in the United States (n = 580) that included two different formats for participants to select their abortion identity: a categorical item with response options ranging from strongly pro-choice to strongly pro-life (and "both" and "neither") and two separate items (sliders) that asked people the extent to which they identify with each term. We asked participants endorsing both pro-life and pro-choice to some extent on the slider items to explain their responses in an open-ended item. We used logistic regression to examine the relationship between participants' socio-demographic characteristics and the likelihood of dual identification slider scores; we analyzed open-ended data for content and themes. Results: On the sliders, more than 64% of participants identified as both pro-life and pro-choice to some extent. Variability existed between people's abortion identity on the close-ended items and their response to the open-ended questions. Among those with mixed abortion identities, participants described abortion as a serious and undesirable option but reflected positively on notions of personal choice and bodily autonomy. Conclusions: Our findings demonstrate complexity in measuring people's endorsement of abortion identity labels. We recommend developing more nuanced and consistent measures to assess abortion attitudes.
更多
查看译文
关键词
abortion,attitudes,pro-choice,pro-life,survey
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要