Dimensions and clusters of abortion legal attitudes: A cross-national analysis of diverse nations

The literature on abortion attitudes displays a clear dualism. Cross-national studies conceptualize these attitudes as unidimensional (higher vs lower tolerance). But country case-studies indicate that attitudes are more complicated than what a continuous (higher/lower) or categorical (pro-choice vs pro-life) differentiation may suggest. Cross-national studies thus likely understate the complexity of abortion views. Utilizing a unique cross-national database and confirmatory factor analysis, cluster analysis, and multivariate regressions, we fill this void. In our sample of 23 diverse nations, we find that respondents are more supportive when the mother's health is in danger and during earlier gestational stages, and they are less likely to punish the woman than the provider when it is illegal. We also show that women, better educated, richer, and more liberal people are more likely to support abortion across different dimensions in the cross-national context. These relationships are largely similar across different legal environments. Finally, we show that attitudes related to the various legal dimensions of abortion are best characterized as multi-dimensional.

Authors

Institutions

Publication Details

Journal
Social Science Research
Published
2025-03-29
DOI
https://doi.org/10.1016/j.ssresearch.2025.103173
Citations
2
Primary Topic
Reproductive Health and Contraception
Type
article
Field-Weighted Citation Impact
3.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dimensions and clusters of abortion legal attitudes: A cross-national analysis of diverse nations

Amy Adamczyk, Juan J. Fernández
2 citations
Social Science Research
Reproductive Health and Contraception
3.76
article

Dimensions and clusters of abortion legal attitudes: A cross-national analysis of diverse nations

Amy Adamczyk, Juan J. Fernández
article en
2 citations

Abstract

The literature on abortion attitudes displays a clear dualism. Cross-national studies conceptualize these attitudes as unidimensional (higher vs lower tolerance). But country case-studies indicate that attitudes are more complicated than what a continuous (higher/lower) or categorical (pro-choice vs pro-life) differentiation may suggest. Cross-national studies thus likely understate the complexity of abortion views. Utilizing a unique cross-national database and confirmatory factor analysis, cluster analysis, and multivariate regressions, we fill this void. In our sample of 23 diverse nations, we find that respondents are more supportive when the mother's health is in danger and during earlier gestational stages, and they are less likely to punish the woman than the provider when it is illegal. We also show that women, better educated, richer, and more liberal people are more likely to support abortion across different dimensions in the cross-national context. These relationships are largely similar across different legal environments. Finally, we show that attitudes related to the various legal dimensions of abortion are best characterized as multi-dimensional.

Social Science ResearchVol. 128
The Graduate Center, CUNY (US), City University of New York (US), Universidad Carlos III de Madrid (ES), John Jay College of Criminal Justice (US)
Gender equality
Openalex Percentile: Top 8%
Reproductive Health and Contraception
3.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dimensions and clusters of abortion legal attitudes: A cross-national analysis of diverse nations — Amy Adamczyk, Juan J. Fernández · Social Science Research (2025) | TGRS Research Map | TGRS