University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Harnessing paradata and multilevel multiple imputation when analysing survey data: a case study

Brunton-Smith, Ian and Tarling, Roger (2017) Harnessing paradata and multilevel multiple imputation when analysing survey data: a case study International Journal of Social Research Methodology, 20 (6). pp. 709-720.

[img] Text
Harnessing paradata and multilevel multiple imputation when analysing survey data.docx - Accepted version Manuscript
Restricted to Repository staff only until 24 July 2018.

Download (69kB)

Abstract

Missing data (attrition and non-response) are a feature of most surveys especially longitudinal/panel studies. And many such studies now have multilevel designs and hence multilevel data structures. Recent advances in imputation methodology now offer social researchers opportunities to address issues of missing data in a statistically principled way. Paradata can offer great insights in understanding the nature and causes of missingness and can be used to construct auxiliary variables to be included in imputation models. In this paper we present multilevel multiple imputation which has recently extended MI to incorporate multilevel data, making it a flexible and robust strategy for many research settings. We illustrate the procedures by analysing data drawn from a longitudinal study of prisoners. We show how paradata of that study was instrumental in guiding our approach and subsequent analysis.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Sociology
Authors :
NameEmailORCID
Brunton-Smith, IanI.R.Brunton-Smith@surrey.ac.ukUNSPECIFIED
Tarling, RogerR.Tarling@surrey.ac.ukUNSPECIFIED
Date : 1 March 2017
Identification Number : 10.1080/13645579.2017.1287842
Copyright Disclaimer : © 2017 Informa UK limited, trading as Taylor & Francis group
Uncontrolled Keywords : Paradata; Multilevel modeling; Multilevel multiple imputation; Longitudinal survey data
Depositing User : Clive Harris
Date Deposited : 01 Dec 2017 11:00
Last Modified : 01 Dec 2017 11:00
URI: http://epubs.surrey.ac.uk/id/eprint/845087

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800