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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: How Can We Improve Graduate Training for Undocumented Students? Ethnic and Nativity-based Inequities in Political Science Graduate Education |
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Identification Number: |
doi:10.7910/DVN/JYJBPG |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2020-07-30 |
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Version: |
1 |
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Bibliographic Citation: |
Landgrave, Michelangelo, 2020, "Replication Data for: How Can We Improve Graduate Training for Undocumented Students? Ethnic and Nativity-based Inequities in Political Science Graduate Education", https://doi.org/10.7910/DVN/JYJBPG, Harvard Dataverse, V1, UNF:6:2ctShkpJDX8VOfYJDhk+Pw== [fileUNF] |
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Citation |
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Title: |
Replication Data for: How Can We Improve Graduate Training for Undocumented Students? Ethnic and Nativity-based Inequities in Political Science Graduate Education |
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Identification Number: |
doi:10.7910/DVN/JYJBPG |
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Authoring Entity: |
Landgrave, Michelangelo (University of California, Riverside) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Landgrave, Michelangelo |
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Depositor: |
Landgrave, Michelangelo |
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Date of Deposit: |
2020-07-29 |
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Holdings Information: |
https://doi.org/10.7910/DVN/JYJBPG |
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Study Scope |
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Keywords: |
Social Sciences, Political Science, Undocumented Student |
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Abstract: |
The political science discipline has increased its efforts to recruit and train minorities. While these efforts are commendable, they have primarily focused on native-born minorities. In this article I argue that undocumented students should not be forgotten in these efforts. Undocumented students are primarily Latinx and/or Asian American Island Pacific (AAPI) minorities. Addressing the inequities faced by undocumented students would benefit both communities. In this manuscript I discuss some of the intersectional inequities undocumented students experience as minority non-citizens. The discipline can help undocumented students by removing citizenship requirements where possible and creating institutional advocates for them. Data reports whether a university had an undocumented student center (DreamCenter = 1) for the 2019-2020 academic year. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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File Description--f3997610 |
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File: List of Undocumented Student Centers.tab |
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Notes: |
UNF:6:2ctShkpJDX8VOfYJDhk+Pw== |
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Dataset in excel format. |
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List of Variables: |
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Variables |
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f3997610 Location: |
Variable Format: character Notes: UNF:6:speUhVDl/l6aGysnUe7ZVw== |
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f3997610 Location: |
Summary Statistics: Valid 50.0; Mean 0.11999999999999993; StDev 0.3282607226593162; Max. 1.0; Min. 0.0; Variable Format: numeric Notes: UNF:6:QYz0VfDjjLanfGDWUys0HQ== |
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f3997610 Location: |
Summary Statistics: Mean 0.16; Min. 0.0; Max. 1.0; StDev 0.3703280399090204; Valid 50.0 Variable Format: numeric Notes: UNF:6:AXWeAZZMcNOxTTOenLXggg== |
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f3997610 Location: |
Summary Statistics: Valid 50.0; Min. 0.0; Mean 0.38; StDev 0.4903143514780145; Max. 1.0; Variable Format: numeric Notes: UNF:6:Fle0AXImkOPOwOFRED4KLA== |
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f3997610 Location: |
Summary Statistics: Valid 50.0; Max. 1.0; StDev 0.40406101782088427; Min. 0.0; Mean 0.20000000000000004; Variable Format: numeric Notes: UNF:6:xIjuEN7pT6Fb1s+LLlhXxw== |
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f3997610 Location: |
Summary Statistics: Max. 1.0; Valid 50.0; Min. 0.0; Mean 0.26; StDev 0.4430874976934521 Variable Format: numeric Notes: UNF:6:YpBtMqkxuAbW95+5chQ3zQ== |
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f3997610 Location: |
Summary Statistics: Mean 0.33999999999999997; Valid 50.0; StDev 0.4785181206984066; Max. 1.0; Min. 0.0 Variable Format: numeric Notes: UNF:6:MwxFWORhTq/I/jhRbv63nw== |
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Label: |
Codebook for Landgrave 2020 PS Political Science and Politics.pdf |
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Text: |
Codebook. |
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Notes: |
application/pdf |
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Label: |
Replication Files _ Landgrave 2020 _ PS Political Science and Politics.do |
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Text: |
Stata dofile (SE 16) used to create descriptive statistics. |
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Notes: |
application/x-stata-syntax |