FoxDebate: The effects of watching a Fox debate on Proposition 209.
In kylepeyton/icsw: Inverse Compliance Score Weighting
Description
Usage
Format
References
Description
The data set (n=507) contains findings from the experiment described in Albertson and Lawrence (2009)
in which a representative sample of survey respondents in Orange County, California, were randomly
assigned to receive encouragement to view a Fox debate on affirmative action, which would take
place on the eve of the 1996 presidential election. Shortly after the election, these respondents were
reinterviewed. The postelection questionnaire asked respondents whether they viewed the debate,
whether they supported a California proposition (209) to eliminate affirmative action (support),
and how informed they felt about the proposition (infopro). The dataset can be used to reproduce
Table 2 in Aronow and Carnegie (2013). Note that mean imputation was used to handle missing data so
non-integer values are imputed. support and infopro are excepted and include missing values.
Usage
1
Format
A data frame with 507 observations on the following 11 variables:
partyidAn 11 point scale from “strong Republican” to “strong Democrat”.
pnintstRespondent interest in politics and national affairs. Coded 1 = "very interested", 2 = "somewhat interested", 3 = "only slightly interested", 4 = "not interested at all".
watchnatFrequency of national television news consumption. Coded 1 = "never"", 2 = "less than once a month"", 3 = "once a month", 4 = "several times a month", 5 = "once a week", 6 = "several times a week", 7 = "every day".
educadEducation level of respondent. Coded 1 = "eighth grade or less", 2 = "beyond eighth grade, not high school", 3 = "ged", 4 = "high school", 5 = "less than one year vocational school", 6 = "one to two year vocational school", 7 = "two years or more vocational school", 8 = "less than two years of college", 9 = "two or more years of college", 10 = "finished a two-year college program", 11 = "finished a four-year college program", 12 = "master degree or equivalent", 13 = "ph.d., m.d., or other advance degree".
readnewsHow often respondent reads political news. Coded 1 = "never"", 2 = "less than once a month"", 3 = "once a month", 4 = "several times a month", 5 = "once a week", 6 = "several times a week", 7 = "every day".
genderRespondent gender. Coded 1 for female and 0 for male.
incomeFamily income from all sources. Coded 1 = "under $10,000", 2 = "between $10,000 and $20,000", 3 = "between $20,000 and $30,000", 4 = "between $30,000 and $40,000", 5 = "between $40,000 and $50,000", 6 = "between $50,000 and $60,000", 7 = "between $60,000 and $70,000", 8 = "between $70,000 and $80,000", 9 = "between $80,000 and $90,000", 10 = "between $90,000 and $100,000", 11 = "$100,000 or more".
whiteBinary indicator coded 1 if subject is white and 0 otherwise.
supportSupport for Proposition 209. Coded 1 if subject voted against or opposed and 0 if subject voted for or favored
infoproInformation on Proposition 209. Coded from 1 to 4, with 4 meaning respondents had a great deal of information about Proposition 209 prior to the election, and 1 meaning respondents reported no information about the proposition before the election.
watchproBinary indicator coded 1 if subject watched the Fox Debate about affirmative action and 0 otherwise. This is the outcome ("treatment") of interest.
conditnBinary indicator coded 1 if subject was (randomly) prompted to watch the Fox Debate about affirmative action. This is the encouragement (instrumental) variable.
References
Bethany Albertson and Adria Lawrence. (2009). After the credits roll: The long-term effects of educational television on public knowledge and attitudes. American Politics Research. 37(2): 275-300.
Peter M. Aronow and Allison Carnegie. (2013). Beyond LATE: Estimation of the average treatment effect with an instrumental variable. Political Analysis. 21.4 (2013): 492-506.
Peter M. Aronow and Allison Carnegie. (2013). Replication data for: Beyond LATE: Estimation of the average treatment effect with an instrumental variable. Dataverse Network. http://hdl.handle.net/1902.1/21729 (accessed May 14, 2015).
kylepeyton/icsw documentation built on May 31, 2019, 11:44 p.m.
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Description Usage Format References
Description
The data set (n=507) contains findings from the experiment described in Albertson and Lawrence (2009)
in which a representative sample of survey respondents in Orange County, California, were randomly
assigned to receive encouragement to view a Fox debate on affirmative action, which would take
place on the eve of the 1996 presidential election. Shortly after the election, these respondents were
reinterviewed. The postelection questionnaire asked respondents whether they viewed the debate,
whether they supported a California proposition (209) to eliminate affirmative action (support),
and how informed they felt about the proposition (infopro). The dataset can be used to reproduce
Table 2 in Aronow and Carnegie (2013). Note that mean imputation was used to handle missing data so
non-integer values are imputed. support and infopro are excepted and include missing values.
Usage
1 |
Format
A data frame with 507 observations on the following 11 variables:
partyidAn 11 point scale from “strong Republican” to “strong Democrat”.
pnintstRespondent interest in politics and national affairs. Coded 1 = "very interested", 2 = "somewhat interested", 3 = "only slightly interested", 4 = "not interested at all".
watchnatFrequency of national television news consumption. Coded 1 = "never"", 2 = "less than once a month"", 3 = "once a month", 4 = "several times a month", 5 = "once a week", 6 = "several times a week", 7 = "every day".
educadEducation level of respondent. Coded 1 = "eighth grade or less", 2 = "beyond eighth grade, not high school", 3 = "ged", 4 = "high school", 5 = "less than one year vocational school", 6 = "one to two year vocational school", 7 = "two years or more vocational school", 8 = "less than two years of college", 9 = "two or more years of college", 10 = "finished a two-year college program", 11 = "finished a four-year college program", 12 = "master degree or equivalent", 13 = "ph.d., m.d., or other advance degree".
readnewsHow often respondent reads political news. Coded 1 = "never"", 2 = "less than once a month"", 3 = "once a month", 4 = "several times a month", 5 = "once a week", 6 = "several times a week", 7 = "every day".
genderRespondent gender. Coded 1 for female and 0 for male.
incomeFamily income from all sources. Coded 1 = "under $10,000", 2 = "between $10,000 and $20,000", 3 = "between $20,000 and $30,000", 4 = "between $30,000 and $40,000", 5 = "between $40,000 and $50,000", 6 = "between $50,000 and $60,000", 7 = "between $60,000 and $70,000", 8 = "between $70,000 and $80,000", 9 = "between $80,000 and $90,000", 10 = "between $90,000 and $100,000", 11 = "$100,000 or more".
whiteBinary indicator coded 1 if subject is white and 0 otherwise.
supportSupport for Proposition 209. Coded 1 if subject voted against or opposed and 0 if subject voted for or favored
infoproInformation on Proposition 209. Coded from 1 to 4, with 4 meaning respondents had a great deal of information about Proposition 209 prior to the election, and 1 meaning respondents reported no information about the proposition before the election.
watchproBinary indicator coded 1 if subject watched the Fox Debate about affirmative action and 0 otherwise. This is the outcome ("treatment") of interest.
conditnBinary indicator coded 1 if subject was (randomly) prompted to watch the Fox Debate about affirmative action. This is the encouragement (instrumental) variable.
References
Bethany Albertson and Adria Lawrence. (2009). After the credits roll: The long-term effects of educational television on public knowledge and attitudes. American Politics Research. 37(2): 275-300.
Peter M. Aronow and Allison Carnegie. (2013). Beyond LATE: Estimation of the average treatment effect with an instrumental variable. Political Analysis. 21.4 (2013): 492-506.
Peter M. Aronow and Allison Carnegie. (2013). Replication data for: Beyond LATE: Estimation of the average treatment effect with an instrumental variable. Dataverse Network. http://hdl.handle.net/1902.1/21729 (accessed May 14, 2015).
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