|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Replication data for: Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups |
|
Identification Number: |
doi:10.7910/DVN/PZAOO6 |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2012-07-27 |
|
Version: |
3 |
|
Bibliographic Citation: |
Ghitza, Yair; Gelman, Andrew, 2012, "Replication data for: Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups", https://doi.org/10.7910/DVN/PZAOO6, Harvard Dataverse, V3 |
|
Citation |
|
|
Title: |
Replication data for: Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups |
|
Identification Number: |
doi:10.7910/DVN/PZAOO6 |
|
Authoring Entity: |
Ghitza, Yair (Columbia University) |
|
Gelman, Andrew (Columbia University) |
|
|
Producer: |
Ghitza, Yair |
|
Gelman, Andrew |
|
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Ghitza, Yair |
|
Depositor: |
Ghitza, Yair |
|
Date of Deposit: |
2012-07-25 |
|
Date of Distribution: |
2012 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/PZAOO6 |
|
Study Scope |
|
|
Keywords: |
Social Sciences, Voter turnout, Public opinion, Partisanship, Presidential elections, Geographic variation, Demographic variation, Data visualization, Statistical modeling, Multilevel regression and poststratification, Multilevel models, Stratification |
|
Abstract: |
Using multilevel regression and poststratification (MRP), we estimate voter turnout and vote choice within deeply interacted subgroups: subsets of the population that are defined by multiple demographic and geographic characteristics. This article lays out the models and statistical procedures we use, along with the steps required to fit the model for the 2004 and 2008 Presidential elections. Though MRP is an increasingly popular method, we improve upon it in numerous ways: deeper levels of covariate interaction, allowing for non-linearity and non-monotonicity, accounting for unequal inclusion probabilities that are conveyed in survey weights, post-estimation adjustments to turnout and voting levels, and informative multidimensional graphical displays as a form of model checking. We use a series of examples to demonstrate the flexibility of our method, including an illustration of turnout and vote choice as subgroups become increasingly detailed, and an analysis of both vote choice changes and turnout changes from 2004 to 2008. |
|
Country: |
United States |
|
Notes: |
Version Date: 2012-07-25Version Text: 1.0 |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Access |
|
|
Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
|
Other Study Description Materials |
|
|
Related Publications |
|
|
Citation |
|
|
Title: |
Ghitza, Yair, and Andrew Gelman. 2013. “Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups.” <i>American Journal of Political Science</i> 57 (3): 762–76. |
|
Identification Number: |
10.1111/ajps.12004 |
|
Bibliographic Citation: |
Ghitza, Yair, and Andrew Gelman. 2013. “Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups.” <i>American Journal of Political Science</i> 57 (3): 762–76. |
|
Label: |
data.zip |
|
Text: |
Data |
|
Notes: |
application/octet-stream |
|
Label: |
mrp-replication-4.R |
|
Text: |
Replication script |
|
Notes: |
text/plain; charset=US-ASCII |