RMF2012 Abstracts
Session: Wednesday 4th July PM (14.15 - 15.30)
Title: Modelling Paradata (Survey Process Data)
Name: Peter Smith
Affiliation: University of Southampton
Abstract Details
The term "paradata" is used to describe empirical measurements about the process generating survey data. Paradata can be call records or administrative records external to the actual survey data, such as information about the data collection process, visual observations of interviewers or information on interviewers. Increasingly, survey methodologists are using paradata to provide insights into survey nonresponse and measurement errors. The recent developments in the area of paradata have raised issues on how best to model such data since the structure of paradata can be complex. Papers in this session will discuss challenges in the analysis and modelling of paradata.
Presentation downloads
Presenter: Frauke Kreuter
Improving process efficiency in panel surveys with paradata
Presenter: Patrick Sturgis
Interviewers, nonresponse bias and measurement error
Presenter: Rebecca Vassallo
The level of the session is: Advanced
Presentation details
Presenter 1
Start time: 14:20
Presentation title: Multilevel model specifications for area and interviewer random effects on nonresponse for longitudinal data
Author: Ms Rebecca Vassallo
Affiliation: University of Southampton
Presenter 2
Start time: 14:35
Presentation title: Improving process efficiency in panel surveys with paradata
Author: Professor Frauke Kreuter
Affiliation: University of Maryland, Institute for Employment Research, Ludwig-Maximilians-University
Presenter 3
Start time: 14:55
Presentation title: Analysing paradata in the UK Understanding Society survey
Author: Dr Julia D'Arrigo
Affiliation: University of Southampton
Presenter 4
Start time: 15:05
Presentation title: Interviewers, nonresponse bias and measurement error
Author: Professor Patrick Sturgis
Affiliation: University of Southampton