Secondary data analysis using Understanding Society Data

Durrant, Gabriele (2015). Secondary data analysis using Understanding Society Data. [Data Collection]. Colchester, Essex: UK Data Archive. 10.5255/UKDA-SN-852046

The project’s key objective was to explore the uses of paradata for cross-sectional and longitudinal surveys with the aim of gaining knowledge that leads to improvement in field process management and responsive survey designs.
The research was organised into three sub-projects which:
1. investigate the use of call record data and interviewer observations to study nonresponse in longitudinal surveys;
2. provide insights into the effects of interviewing strategies and other interviewer attributes on response in longitudinal surveys, and
3. gain knowledge about the measurement error properties of paradata, in particular interviewer observations.
Analysis techniques included multilevel, discrete-time event history and longitudinal data analysis methods. Dissemination included a short course and an international workshop on paradata.

Data description (abstract)

We analysed the Understanding Society Data from Waves 1 and 2 in our project to explore the uses of paradata in cross-sectional and longitudinal surveys with the aim of gaining knowledge that leads to improvement in field process management and responsive survey designs.

Data creators:
Creator Name Affiliation ORCID (as URL)
Durrant Gabriele University of Southampton
Sponsors: Economic and Social Research Council
Grant reference: RES-062-23-2997
Topic classification: Demography (population, vital statistics and censuses)
Keywords: paradata, call record data, interviewer observations, sequence analysis, multilevel analysis, discrete-time event history analysis, longitudinal data analysis
Project title: The Use of Paradata (Field Process Data) in Cross–Sectional and Longitudinal Surveys
Grant holders: Dr Gabriele Durrant
Project dates:
FromTo
1 September 201131 August 2015
Date published: 03 Dec 2015 14:11
Last modified: 03 Dec 2015 14:11

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