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Development of the UK Continuous Population Survey from a data collection perspective: improving survey questions and the quality of data output.

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Abstract:

The Continuous Population Survey (CPS) is an innovative project to integrate the five key government surveys on which the UK Office for National Statistics (ONS) leads, and replace them with one modular survey. A comprehensive integration of the entire survey process is proposed: from the sample design, creation of a unified field force of interviewers administering a common modular questionnaire using different data collection modes, to the processing and production of outputs from a single common source. Reduction of non-sampling error through improved question design within a mixed mode collection environment (telephone and face-to-face) is one element of the development process discussed in this paper.

The development of core questions on caring activity, educational attainment and income were identified for redesign and tested using a combination of qualitative and quantitative techniques. Investigations were carried out on existing questions to assess conceptualisation, question wording, unit and item non-response, system mode effect and proxy response. This provided an understanding of whether the questions were acceptable to interviewers, respondents and proxy responders (acceptability), whether respondents understood and completed question tasks successfully (reliability/validity), and how accurate the outputs were when comparing different modes and in comparison to other measures of caring, education and income.

Redesigned questions, based on Dillman’s unimode approach, were tested live in the field using a split sample design on the ONS Omnibus and Annual Population Surveys, to quantitatively evaluate the revisions made.

This paper reports on the findings from these two stages: analysis of existing data, identifying areas of possible measurement error, and question validation, including examination of order effects and questionnaire flow of the redesigned questions, giving evidence of how improvements have been made.

Author's Keywords:

Improving survey quality, question development, question wording, unit and item non-response, proxy response, system mode effect, order effect, questionnaire flow
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Association:
Name: American Association For Public Opinion Association
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http://www.aapor.org


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MLA Citation:

Blackwell, Alison. and Dewar, Abigail. "Development of the UK Continuous Population Survey from a data collection perspective: improving survey questions and the quality of data output." Paper presented at the annual meeting of the American Association For Public Opinion Association, Fontainebleau Resort, Miami Beach, FL, <Not Available>. 2009-05-25 <http://www.allacademic.com/meta/p16870_index.html>

APA Citation:

Blackwell, A. and Dewar, A. "Development of the UK Continuous Population Survey from a data collection perspective: improving survey questions and the quality of data output." Paper presented at the annual meeting of the American Association For Public Opinion Association, Fontainebleau Resort, Miami Beach, FL <Not Available>. 2009-05-25 from http://www.allacademic.com/meta/p16870_index.html

Publication Type: Paper/Poster Proposal
Abstract: The Continuous Population Survey (CPS) is an innovative project to integrate the five key government surveys on which the UK Office for National Statistics (ONS) leads, and replace them with one modular survey. A comprehensive integration of the entire survey process is proposed: from the sample design, creation of a unified field force of interviewers administering a common modular questionnaire using different data collection modes, to the processing and production of outputs from a single common source. Reduction of non-sampling error through improved question design within a mixed mode collection environment (telephone and face-to-face) is one element of the development process discussed in this paper.

The development of core questions on caring activity, educational attainment and income were identified for redesign and tested using a combination of qualitative and quantitative techniques. Investigations were carried out on existing questions to assess conceptualisation, question wording, unit and item non-response, system mode effect and proxy response. This provided an understanding of whether the questions were acceptable to interviewers, respondents and proxy responders (acceptability), whether respondents understood and completed question tasks successfully (reliability/validity), and how accurate the outputs were when comparing different modes and in comparison to other measures of caring, education and income.

Redesigned questions, based on Dillman’s unimode approach, were tested live in the field using a split sample design on the ONS Omnibus and Annual Population Surveys, to quantitatively evaluate the revisions made.

This paper reports on the findings from these two stages: analysis of existing data, identifying areas of possible measurement error, and question validation, including examination of order effects and questionnaire flow of the redesigned questions, giving evidence of how improvements have been made.

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