Durrant, Gabriele B., D'Arrigo, Julia and Steele, Fiona (2013) Analysing interviewer call record data by using a multilevel discrete time event history modelling approach. Journal of the Royal Statistical Society. Series A: Statistics in Society, 176 (1). pp. 254-269. ISSN 0964-1998
Full text not available from this repository.Abstract
In recent years, survey agencies have started to collect detailed call record data, including information on the timing and outcome of each interviewer call to a household. In interview-based household surveys, such information may be used to inform effective interviewer calling behaviours, which are critical in achieving co-operation and reducing the likelihood of refusal. However, call record data can be complex and it is not always clear how best to model such data. We present a general framework for the analysis of call record data by using multilevel event history modelling. A multilevel multinomial logistic regression approach is proposed in which the different possible outcomes at each call are modelled jointly, accounting for the clustering of calls within households and interviewers. Of particular interest are the influences of time varying characteristics on the outcome of a call. The analysis of interviewer call record data is illustrated by using paradata from several face-to-face household surveys with the aim of modelling non-response.
| Item Type: | Article |
|---|---|
| Official URL: | http://onlinelibrary.wiley.com/journal/10.1111/(IS... |
| Additional Information: | © 2012 Royal Statistical Society |
| Divisions: | Statistics |
| Subjects: | H Social Sciences > HA Statistics |
| Date Deposited: | 02 Sep 2013 09:55 |
| Last Modified: | 17 Feb 2024 00:09 |
| Projects: | RES-062-23-2997, RES-062-23-0458 |
| Funders: | Economic and Social Research Council, Paradata in cross-sectional and longitudinal research, Hierarchical analysis of unit nonresponse in sample surveys |
| URI: | http://eprints.lse.ac.uk/id/eprint/52200 |
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