I posted this query on the Political Methdology listserv:
Hello all, I have some students in an election sciences class who want to do some visualizations using CCES data. I’d like them to use the survey weights if possible, but don’t know an easy way to do this in R.
I have come across this package that claims to support graphics and complex survey weights, but can’t find a reference or vignette that uses any graphics: http://r-survey.r-forge.r-project.org/survey/
And have provided a review of the answers:
Thanks to Jay Lee of Reed College for helping me assemble this.
Thanks to those participants in the Political Methodology listserv who responded to a query that I posted a month ago about how to produce survey “toplines” using either Stata or R. The attached document provides a detailed summary of the responses; I have posted the most useful reply here.
From: Paul Gronke <firstname.lastname@example.org>
Quick question for the list: Lisa Bryant (CU Fresno) and I are preparing some “top lines” and “tabs” for a client with whom we conducted a survey.
If you have seen these before, they are usually organized so that categorial survey responses are reported on the rows, and the columns report the overall responses, then responses “tabbed” or “crossed” by various demographic and political categories. Roll your eyes if you will that this is just a big set of exploratory cross tabs, but a lot of folks expect to see them to help digest the survey results.
A typical “tab” looks like this:
VARIABLE Total GOP IND DEM MEN WOMEN …
Category 1 N % N % N % N % N % N %
Category 2 N % …
From: Jonathan Mendelson
I posted a response to the list, but it hasn’t gone through yet, so I thought I’d reply directly. I encountered the same issue as you and wrote a Stata package that essentially creates “tabs” in spreadsheet form. You can install it in Stata via “ssc install tabsheet” or view information at https://ideas.repec.org/c/boc/bocode/s458128.html; there are examples in the documentation so you should be able to get started fairly quickly.
The program is not particularly flexible, but it is easy to use, and some colleagues at my survey firm have found it very useful. Although it doesn’t currently output to anything other than tab-delimited file (which can be opened in a spreadsheet), with some clever formatting in Excel, you could print the resulting spreadsheet to PDF for something nicer looking.
If you need something more flexible in Stata, I’d recommend tabout, although that may require more work to set up. If you find out about any R packages that do something similar, I’d be interested in hearing about it.
The complete list of responses, including various R and Stata solutions, is provided in this PDF: polmeth-question-survey-tabs
This article is a brief overview of the place that election law scholarship can play in undergraduate education.
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Forms of convenience voting—early in-person voting, voting by mail, absentee voting, electronic voting, and voting by fax—have become the mode of choice for >30% of Americans in recent elections. Despite this, and although nearly every state in the United States has adopted at least one form of convenience voting, the academic re- search on these practices is unequally distributed across important questions. A great deal of literature on turnout is counterbalanced by a dearth of research on campaign effects, election costs, ballot quality, and the risk of fraud. This article introduces the theory of convenience voting, reviews the current literature, and suggests areas for future research.
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