A Data Quality Control Program for Computer-Assisted Personal Interviews
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 comprise...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Nursing Research and Practice |
| Online Access: | http://dx.doi.org/10.1155/2012/303816 |
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| _version_ | 1832551349696331776 |
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| author | Janet E. Squires Alison M. Hutchinson Anne-Marie Bostrom Kelly Deis Peter G. Norton Greta G. Cummings Carole A. Estabrooks |
| author_facet | Janet E. Squires Alison M. Hutchinson Anne-Marie Bostrom Kelly Deis Peter G. Norton Greta G. Cummings Carole A. Estabrooks |
| author_sort | Janet E. Squires |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3d8b0c434c47454bb951e8f0245006a7 |
| institution | Kabale University |
| issn | 2090-1429 2090-1437 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Nursing Research and Practice |
| spelling | doaj-art-3d8b0c434c47454bb951e8f0245006a72025-02-03T06:01:39ZengWileyNursing Research and Practice2090-14292090-14372012-01-01201210.1155/2012/303816303816A Data Quality Control Program for Computer-Assisted Personal InterviewsJanet E. Squires0Alison M. Hutchinson1Anne-Marie Bostrom2Kelly Deis3Peter G. Norton4Greta G. Cummings5Carole A. Estabrooks6Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, K1H 8L6, CanadaCabrini-Deakin Centre for Nursing Research, School of Nursing and Midwifery, Deakin University and Cabrini Health, Melbourne, VIC 3KM, AustraliaDivision of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, 14183 Huddinge, SwedenFaculty of Nursing, University of Alberta, Edmonton, AB, T6G 1C9, CanadaDepartment of Family Medicine, University of Calgary, Calgary, AB, T2M 0H5, CanadaFaculty of Nursing, University of Alberta, Edmonton, AB, T6G 1C9, CanadaFaculty of Nursing, University of Alberta, Edmonton, AB, T6G 1C9, CanadaResearchers 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.http://dx.doi.org/10.1155/2012/303816 |
| spellingShingle | Janet E. Squires Alison M. Hutchinson Anne-Marie Bostrom Kelly Deis Peter G. Norton Greta G. Cummings Carole A. Estabrooks A Data Quality Control Program for Computer-Assisted Personal Interviews Nursing Research and Practice |
| title | A Data Quality Control Program for Computer-Assisted Personal Interviews |
| title_full | A Data Quality Control Program for Computer-Assisted Personal Interviews |
| title_fullStr | A Data Quality Control Program for Computer-Assisted Personal Interviews |
| title_full_unstemmed | A Data Quality Control Program for Computer-Assisted Personal Interviews |
| title_short | A Data Quality Control Program for Computer-Assisted Personal Interviews |
| title_sort | data quality control program for computer assisted personal interviews |
| url | http://dx.doi.org/10.1155/2012/303816 |
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