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Am J Health Promot. 2015 Sep-Oct;30(1):9-18. doi: 10.4278/ajhp.130731-QUAN-389. Epub 2014 May 12.

Development and Reliability Testing of a Fast-Food Restaurant Observation Form.



To develop a reliable observational data collection instrument to measure characteristics of the fast-food restaurant environment likely to influence consumer behaviors, including product availability, pricing, and promotion.


The study used observational data collection.


Restaurants were in the Chicago Metropolitan Statistical Area.


A total of 131 chain fast-food restaurant outlets were included.


Interrater reliability was measured for product availability, pricing, and promotion measures on a fast-food restaurant observational data collection instrument.


Analysis was done with Cohen's κ coefficient and proportion of overall agreement for categorical variables and intraclass correlation coefficient (ICC) for continuous variables.


Interrater reliability, as measured by average κ coefficient, was .79 for menu characteristics, .84 for kids' menu characteristics, .92 for food availability and sizes, .85 for beverage availability and sizes, .78 for measures on the availability of nutrition information,.75 for characteristics of exterior advertisements, and .62 and .90 for exterior and interior characteristics measures, respectively. For continuous measures, average ICC was .88 for food pricing measures, .83 for beverage prices, and .65 for counts of exterior advertisements.


Over 85% of measures demonstrated substantial or almost perfect agreement. Although some measures required revision or protocol clarification, results from this study suggest that the instrument may be used to reliably measure the fast-food restaurant environment.


Environment; Fast-Food Restaurants; Health focus: nutrition, weight control; Manuscript format: research; Marketing; Outcome measure: other environmental; Prevention Research; Reliability; Research purpose: instrument development; Setting: local community; Strategy: policy, built environment; Study design: observational research; Target population age: youth, adults, seniors; Target population circumstances: Chicago Metropolitan Statistical Area, all education levels, all income levels, all races/ethnicities

[Indexed for MEDLINE]

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