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Nursing Research and Practice
Volume 2012, Article ID 303816, 8 pages
Research Article

A Data Quality Control Program for Computer-Assisted Personal Interviews

1Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada K1H 8L6
2School of Nursing, University of Ottawa, Ottawa, ON, Canada K1H 8M5
3Cabrini-Deakin Centre for Nursing Research, School of Nursing and Midwifery, Deakin University and Cabrini Health, Melbourne, VIC 3KM, Australia
4Division of Nursing, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, 14183 Huddinge, Sweden
5Department of Geriatric Medicine, Danderyd Hospital, 18287 Danderyd, Sweden
6Faculty of Nursing, University of Alberta, Edmonton, AB, Canada T6G 1C9
7Department of Family Medicine, University of Calgary, Calgary, AB, Canada T2M 0H5

Received 24 July 2012; Revised 24 October 2012; Accepted 29 October 2012

Academic Editor: M. H. F. Grypdonck

Copyright © 2012 Janet E. Squires et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplementary File 1: The interviewer quality control protocol describes three core components of interview quality control: (1) characteristics of a successful interviewer, (2) training, and (3) tracking and monitoring processes.

Supplementary File 2: The data cleaning and processing protocol describes a six step process: (1) systematic data entry, (2) data cleaning, (3) prederivation processing, (4) derivation of scale scores, (5) descriptive assessment of derived scores, and (6) assessment of missing data.

  1. Supplementary Materials
  2. Supplementary Materials