Mountain View
biomedical and healthCAre Data Discovery Index Ecosystem
help Advanced Search
Title: Replication data for: Looking Beyond Demographics: Panel Attrition in the ANES and GSS      
dateReleased:
10-02-2014
downloadURL: http://hdl.handle.net/1902.1/22313
ID:
hdl:1902.1/22313
description:
Longitudinal or panel surveys offer unique benefits for social science research, but they typically suffer from attrition, which reduces sample size and can result in biased inferences. Previous research tends to focus on the demographic predictors of attrition, conceptualizing attrition propensity as a stable, individual- level characteristic—some individuals (e.g., young, poor, residentially mobile) are more likely to drop out of a study than others. We argue that panel attrition reflects both the characteristics of the individual respondent as well as her survey experience, a factor shaped by the design and implementation features of the study. In this paper, we examine and compare the predictors of panel attrition in the 2008-2009 American National Election Study, an on- line panel, and the 2006-2010 General Social Survey, a face-to-face panel. In both cases, survey experience variables are predictive of panel attrition above and beyond the standard demographic predictors, but the particular measures of relevance differ across the two surveys. The findings inform statistical corrections for panel attrition bias and provide study design insights for future panel data collections.
description:
Frankel, Laura Lazarus; Hillygus, D. Sunshine, 2013, "Replication data for: Looking Beyond Demographics: Panel Attrition in the ANES and GSS", http://hdl.handle.net/1902.1/22313, Harvard Dataverse, V2
name:
Frankel, Laura Lazarus
Hillygus, D. Sunshine
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997