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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: What explains election-driven family conflicts? |
Identification Number: |
doi:10.7910/DVN/42SIAV |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2025-01-03 |
Version: |
1 |
Bibliographic Citation: |
Gatto, Malu; João Gabriel Leal; Débora Thomé, 2025, "Replication Data for: What explains election-driven family conflicts?", https://doi.org/10.7910/DVN/42SIAV, Harvard Dataverse, V1 |
Citation |
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Title: |
Replication Data for: What explains election-driven family conflicts? |
Identification Number: |
doi:10.7910/DVN/42SIAV |
Authoring Entity: |
Gatto, Malu (University College London) |
João Gabriel Leal (Fundação Oswaldo Cruz) |
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Débora Thomé (Fundação Getulio Vargas) |
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Distributor: |
Harvard Dataverse |
Access Authority: |
Gatto, Malu |
Depositor: |
Gatto, Malu |
Date of Deposit: |
2024-12-19 |
Holdings Information: |
https://doi.org/10.7910/DVN/42SIAV |
Study Scope |
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Keywords: |
Social Sciences, Affective polarisation, electoral disagreement, political socialisation, family, LGBT, Brazil |
Abstract: |
As affective polarisation rises worldwide, so do concerns about how political disagreements affect social relationships, including families—a core building block of societies. The impact of political division on families has been a topic of interest for media outlets, but scholarship remains scarce. To contribute to this emerging debate, we ask: What factors increase the risk of election-driven family conflicts? Employing data from a national survey in Brazil, a highly polarised context, we find that the prevalence of election-driven family conflicts is low, affecting roughly only 3.5% of respondents. As our theory-development exercise reveals, even if not widely spread, election-driven family conflicts disproportionately affect one group: Lesbian, gay, and bisexual respondents. Our study adds to a growing scholarship on the detrimental impacts of polarised elections on the LGBTQI+ community—and reinforces the need for further research to investigate the heterogeneous effects of emerging political dynamics on marginalised groups. |
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dataset_1_variable_code.xlsx |
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dataset_2_variable_code.xlsx |
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data_base_1.Rda |
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