Title |
Field validation of secondary data sources: a novel measure of representativity applied to a Canadian food outlet database
|
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Published in |
International Journal of Behavioral Nutrition and Physical Activity, June 2013
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DOI | 10.1186/1479-5868-10-77 |
Pubmed ID | |
Authors |
Christelle M Clary, Yan Kestens |
Abstract |
Validation studies of secondary datasets used to characterize neighborhood food businesses generally evaluate how accurately the database represents the true situation on the ground. Depending on the research objectives, the characterization of the business environment may tolerate some inaccuracies (e.g. minor imprecisions in location or errors in business names). Furthermore, if the number of false negatives (FNs) and false positives (FPs) is balanced within a given area, one could argue that the database still provides a "fair" representation of existing resources in this area. Yet, traditional validation measures do not relax matching criteria, and treat FNs and FPs independently. Through the field validation of food businesses found in a Canadian database, this paper proposes alternative criteria for validity. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Canada | 1 | 3% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 24% |
Student > Master | 9 | 24% |
Student > Ph. D. Student | 5 | 13% |
Student > Bachelor | 4 | 11% |
Student > Doctoral Student | 2 | 5% |
Other | 4 | 11% |
Unknown | 5 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 9 | 24% |
Nursing and Health Professions | 9 | 24% |
Social Sciences | 5 | 13% |
Business, Management and Accounting | 2 | 5% |
Agricultural and Biological Sciences | 1 | 3% |
Other | 5 | 13% |
Unknown | 7 | 18% |