Cross-Tabulation and the American National Election Study (2012): Party Identification and Same-Sex Marriage

Dataset
By: The Odum Institute Published: 2015 | Product: SAGE Research Methods Datasets
Methods: Cross-tabulation
Data Type: Survey
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Abstract

This dataset example introduces readers to cross-tabulation. Cross-tabulation allows researchers to compare the distributions of two categorical variables to see if they are related to each other. This example uses a subset of data from the 2012 American National Election Study (ANES). It presents a cross-tabulation between party identification and views on same-sex marriage. Results from an analysis like this could help researchers understand how people form opinions on sensitive political issues.

In this example, readers are introduced to the basic theory and assumptions underlying this technique, the type of questions this technique can be used to answer, and how to produce and report results. The sample dataset has been cleaned and organized to make this example easier to follow. Interested readers should read the full ...

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About This Dataset
Data Source Citation

The American National Election Studies (ANES; www.electionstudies.org). The ANES 2012 Time Series Study [dataset]. Stanford University and the University of Michigan [producers].

Full title of originating dataset

American National Election Studies (ANES) 2012 Time Series Study

Data author(s) and affiliations

American National Election Studies (Stanford University, University of Michigan)

Data Universe

U.S. eligible voters

Funding sources/suppliers

These materials are based on work supported by the National Science Foundation under grants SES-0937727 and SES-0937715, Stanford University, and the University of Michigan.

Any opinions, findings and conclusions or recommendations expressed in these materials are those of the author(s) and do not necessarily reflect the views of the funding organizations.

Sample/sampling procedures

The ANES 2012 Time Series is a dual-mode survey (face-to-face and Internet) with two independent samples. Cases selected for the face-to-face sample could not be interviewed on the Internet, and cases selected for the Internet survey could not be interviewed in person. The Internet sample was drawn from panel members of GfK Knowledge Networks. The Face-to-face sample used an address-based, stratified, multi-stage cluster sample in 125 census tracts. The face-to-face sample also featured oversamples of blacks and Hispanics.

Weighting

Original dataset includes 3 weight variables:

weight_ftf

for face-to-face sample analysis alone

weight_web

for Internet sample analysis alone

weight_full

for combined sample analysis

Data collection dates

09-2012 to 01-2013

Time frame of analysis

2012 to 2013

Unit of analysis

Individual

Location covered by data

United States

Links to SRM content
  • Lewis-Beck, M. (2004). Cross-Tabulation. In Michael S. Lewis-Beck, A. Bryman, & Tim Futing Liao (Eds.), The SAGE Encyclopedia of Social Science Research Methods. (p. 231). Thousand Oaks, CA: Sage Publications, Inc. doi: http://dx.doi.org/10.4135/9781412950589.n205
  • Contingency Table. (2005). In W. Paul Vogt (Ed.), Dictionary of Statistics & Methodology. (3rd ed., p. 61). Thousand Oaks, CA: SAGE Publications, Inc. http://srmo.sagepub.com/view/dictionary-of-statistics-methodology/n391.xml
List of variables

pid3

Party Identification

gaymarry

Views on Gay Marriage

abort

Views on Abortion

religimport

Importance of Religion

sex

Gender