Session: Enhancing Data Collection to Improve Survey Data Quality
Time: Tuesday 5th July, 10:00 - 12.30
Convenors:
Dr Gabriele Durrant (University of Southampton)
Professor Patrick Sturgis (University of Southampton )
Abstract Details
This session presents recent advances in data collection methods. Response rates have been falling in many large-scale surveys and statistical agencies are keen to implement methods that ensure the data quality of the resulting data whilst dealing with increased costs. An unanswered question remains if increased data collection efforts are indeed worth the effort. This session investigates data quality indicators, such as those measuring the risk of nonresponse bias, during data collection. The use of linked paradata and other datasources is explored. The influence of the interviewer on measurement error during data collection is investigated using a novel multilevel.
Presentation downloads
Presenter: Gabriele Durrant
Presenter: Gabriele Durrant
Presenter: Brunton-Smith I
Presenter: Olga Maslovskaya
Presenter: Patrick Sturgis
Fieldwork effort, response rate and the distribution of survey outcomes: a multi-level meta-analysis
Presenter: Joel Williams
Discussion of two papers examining the value of efforts to maximise interview response rates
The level of the session is: Accessible
Presentation details
Presentation 1
Start time: 10:00
Presentation title: Fieldwork effort, response rate and the distribution of survey outcomes: a multi-level meta-analysis
Presenter:
Professor Patrick Sturgis (University of Southampton)
Presentation 2
Start time: 10:25
Presentation title: Assessing risks of nonresponse bias during survey data collection: evidence from the UK Census nonresponse link study
Presenter:
Dr Gabriele Durrant (University of Southampton)
Presentation 3
Start time: 10:50
Presentation title: Discussion
Presenter:
Dr Joel Williams (TNS-BMRB)
Presentation 4
Start time: 11:30
Presentation title: Predicting response and call sequence length using paradata in a longitudinal survey
Presenter:
Dr Olga Maslovskaya (University of Southampton)
Presentation 5
Start time: 11:55
Presentation title: Detecting and understanding interviewer effects on survey data using a cross-classified mixed-effects location scale model
Presenter:
Dr Ian Brunton-Smith (University of Surrey)