How to Visualize Data Effectively to Promote Diversity and...
Transcript of How to Visualize Data Effectively to Promote Diversity and...
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How to Visualize Data Effectively to PromoteDiversity and Inclusion
Yusaku Horiuchi (Dartmouth) In Song Kim (MIT)
APSA 2018
August 31, 2018
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1 Hackathon: Data Visualization Team
2 Team Outputs
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Suggested Datasets1 A replication package of Teele and Thelen (2018)https://www.dropbox.com/s/6v2sqzej2q4ifg0/2017_Teele_Thelen_Replication.zip?dl=0
2 A replication package of Carey et al (2018, forthcoming)https://doi.org/10.7910/DVN/GD1UEI
3 A replication package of Htun et al (2018, forthcoming)https://www.dropbox.com/sh/8mw8qocqx1r1d2g/AACtxWwVoYOf6IoUyknhlg4Ca?dl=0
4 College Scorecardhttps://collegescorecard.ed.gov/data/
5 National Center for Education Statisticshttps://nces.ed.gov/datatools/
6 Variety of Democracy (V-Dem) datasethttps://www.v-dem.net/en/data/data-version-8/
7 Quality of Government datasethttps://qog.pol.gu.se/data
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InstructionsParticipants may either use the provided datasets or bring theirown to produce visualizations
Please submit your output as yourlastname.zip with the folderstructure described belowhttps://www.dropbox.com/sh/c4xpvaeminf7whw/AACTqsXsk8f7ZVHbemjgEjJUa?dl=0
Your folder structure1 /code/2 /data/3 /figure/
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1 Hackathon: Data Visualization Team
2 Team Outputs
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Participants
Yusaku Horiuchi (Dartmouth College)
In Song Kim (MIT)
Basak Traktas (Northwestern University)
Francesca Jensenius (University of Oslo)
Katherine Clayton (Dartmouth College )
John Carey (Dartmouth College)
Tom Paskhalis (London School of Economics)
Selina Hofstetter (London School of Economics)
Jim Cupples (NationBuilder)
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Gender Gaps in Perceptions about Publication in PA
−0.427**−0.427**(0.139)(0.139)
+0.038+0.038(0.094)(0.094)
−0.388**−0.388**(0.126)(0.126)
+0.091+0.091(0.128)(0.128)
Likelihood of Submitting
Quantitative
Likelihood of Submitting
Qualitative
Likelihood of Publishing
Quantitative
Likelihood of Publishing
Qualitative
Man Woman Man Woman Man Woman Man Woman
Very unlikely
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Neither likely nor unlikely
Somewhat likely
Very likely
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Women’s Political Empowerment Over Time
Russia Turkey
Iran Japan Norway
Belgium China Germany
1900 1925 1950 1975 2000 1900 1925 1950 1975 2000
1900 1925 1950 1975 2000
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Happiness isn’t associated with political empowerment
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Malaysia (1966−)
Mexico
Egypt
Uzbekistan
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0.4 0.6 0.8
Women political empowerment index (V−DEM)
Fee
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of h
appi
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(W
orld
Val
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urve
ys)
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Sexual harassment training at UNM: Effects on sexism
0.30 0.35 0.40 0.45 0.50 0.55
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Effect of training men respondents
Benevolent sexism score (0−1)
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Effect of training women respondents
Benevolent sexism score (0−1)H
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BlackHispanicNativeOtherWhite
N=50
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Benevolent sexism, e.g., “women should be rescued first”Hostile sexism, e.g., “women are too easily offended”
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Contents of Lobbying:American Association of University Women
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Finacial Flow and Politicians
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Ethnic Composition and Earning
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Earnings by percentile
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Racial/ethnic composition of student populations by income, 10 years after enrollment
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Voter Composition
Louisiana Registered Voters Louisiana OfficeholdersWhite Voters 1886758 White Officeholders 3312Black Voters 923866 Black Officeholders 1054Other & N/A Officeholders 148360 Other & N/A Officeholders 206
Louisiana Registered Voters Louisiana OfficeholdersMen 1330162 Men 3255Women 1628135 Women 1150Other & N/A Voters 687 Other & N/A Voters 185
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Rate Professors!
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