Brandon L. Crawford, PhD

Assistant Professor of Applied Health Science


Curriculum vitae



Department of Applied Health Science

School of Public Health, Indiana University, Bloomington



Abortion Complexity Scores from 1972 to 2018: A Cross-Sectional Time-Series Analysis Using Data from the General Social Survey


Journal article


K. Jozkowski, Brandon L. Crawford, Malachi Willis
2020

Semantic Scholar DOI
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Cite

APA   Click to copy
Jozkowski, K., Crawford, B. L., & Willis, M. (2020). Abortion Complexity Scores from 1972 to 2018: A Cross-Sectional Time-Series Analysis Using Data from the General Social Survey.


Chicago/Turabian   Click to copy
Jozkowski, K., Brandon L. Crawford, and Malachi Willis. “Abortion Complexity Scores from 1972 to 2018: A Cross-Sectional Time-Series Analysis Using Data from the General Social Survey” (2020).


MLA   Click to copy
Jozkowski, K., et al. Abortion Complexity Scores from 1972 to 2018: A Cross-Sectional Time-Series Analysis Using Data from the General Social Survey. 2020.


BibTeX   Click to copy

@article{k2020a,
  title = {Abortion Complexity Scores from 1972 to 2018: A Cross-Sectional Time-Series Analysis Using Data from the General Social Survey},
  year = {2020},
  journal = {},
  author = {Jozkowski, K. and Crawford, Brandon L. and Willis, Malachi}
}

Abstract

Introduction: According to data from the General Social Survey (GSS), abortion attitudes have remained relatively stable since 1972. Despite this apparent stability, some researchers argue abortion opinions have become increasingly polarized, particularly among certain subgroups. Others argue people’s attitudes toward abortion are complex and nuanced; that is, people may feel conflicted or ambivalent about abortion in certain contexts. To better understand this issue, we examined complexity and polarization in people’s attitudes toward abortion using GSS data from 1972 until 2018 (n = 44,302).

Methods: The GSS includes six items assessing whether it should be possible for “a pregnant woman to obtain a legal abortion” under specific circumstances. Using these items, we created an aggregate complexity measure. Negative binomial, Poisson, and logistic regression models were tested to assess potential changes in complexity and polarization over time among demographic subgroups.

Results: Findings indicate changes in complexity across political party affiliations, religious identity, and age groups. However, any significant differences among these demographic subgroups are lost once polarized scores are removed. That is, changes in complexity are driven largely by more people supporting access to abortion in all or no situations; among those who remain conflicted, there has been little change in complexity.

Discussion: These findings provide a more nuanced assessment of trends in abortion attitudes. Given the saliency of this issue, we recommend researchers consider alternative mechanisms to assess abortion attitudes.

Policy Implication: These nuanced assessments of abortion attitudes should be considered when determining the congruence between abortion legislation and public opinion.

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