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A data quality control program for computer-assisted personal interviews

Squires, Janet E., Hutchinson, Alison M., Bostrom, Anne-Marie, Deis, Kelly, Norton, Peter G., Cummings, Greta G. and Estabrooks, Carole A. 2012, A data quality control program for computer-assisted personal interviews, Nursing research and practice, vol. 2012, no. Article ID 303816, pp. 1-8, doi: 10.1155/2012/303816.

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Title A data quality control program for computer-assisted personal interviews
Author(s) Squires, Janet E.
Hutchinson, Alison M.ORCID iD for Hutchinson, Alison M. orcid.org/0000-0001-5065-2726
Bostrom, Anne-Marie
Deis, Kelly
Norton, Peter G.
Cummings, Greta G.
Estabrooks, Carole A.
Journal name Nursing research and practice
Volume number 2012
Issue number Article ID 303816
Start page 1
End page 8
Total pages 8
Publisher Hindawi Publishing Corporation
Place of publication New York, N. Y.
Publication date 2012
ISSN 2090-1429
2090-1437
Keyword(s) data quality control program
software
development
high-quality data
optimise
Summary Researchers strive to optimize data quality in order to ensure that study findings are valid and reliable. In this paper, we describe a data quality control program designed to maximize quality of survey data collected using computer-assisted personal interviews. The quality control program comprised three phases: (1) software development, (2) an interviewer quality control protocol, and (3) a data cleaning and processing protocol. To illustrate the value of the program, we assess its use in the Translating Research in Elder Care Study. We utilize data collected annually for two years from computer-assisted personal interviews with 3004 healthcare aides. Data quality was assessed using both survey and process data. Missing data and data errors were minimal. Mean and median values and standard deviations were within acceptable limits. Process data indicated that in only 3.4% and 4.0% of cases was the interviewer unable to conduct interviews in accordance with the details of the program. Interviewers’ perceptions of interview quality also significantly improved between Years 1 and 2. While this data quality control program was demanding in terms of time and resources, we found that the benefits clearly outweighed the effort required to achieve high-quality data.
Language eng
DOI 10.1155/2012/303816
Field of Research 111099 Nursing not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2012, Hindawi Publishing Corporation
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30052511

Document type: Journal Article
Collections: School of Nursing and Midwifery
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.