Related Experiment Video
Updated: May 10, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
Published on: March 19, 2021
Development and reliability testing of a food store observation form
Leah Rimkus1, Lisa M Powell, Shannon N Zenk
1Institute for Health Research and Policy, University of Illinois at Chicago, Chicago, IL.
Objective:
To develop a reliable food store observational data collection instrument to be used for measuring product availability, pricing, and promotion.
Design:
Observational data collection.
Setting:
A total of 120 food stores (26 supermarkets, 34 grocery stores, 54 gas/convenience stores, and 6 mass merchandise stores) in the Chicago metropolitan statistical area.
Main Outcome Measures:
Inter-rater reliability for product availability, pricing, and promotion measures on a food store observational data collection instrument.
Analysis:
Cohen's kappa coefficient and proportion of overall agreement for dichotomous variables and intra-class correlation coefficient for continuous variables.
Results:
Inter-rater reliability, as measured by average kappa coefficient, was 0.84 for food and beverage product availability measures, 0.80 for interior store characteristics, and 0.70 for exterior store characteristics. For continuous measures, average intra-class correlation coefficient was 0.82 for product pricing measures; 0.90 for counts of fresh, frozen, and canned fruit and vegetable options; and 0.85 for counts of advertisements on the store exterior and property.
Conclusions And Implications:
The vast majority of measures demonstrated substantial or almost perfect agreement. Although some items may require revision, results suggest that the instrument may be used to reliably measure the food store environment.
Related Concept Videos
Reliability and Validity
Assessment of the Gastrointestinal System I: Subjective Data
Health History
The initial step in assessing the GI system is obtaining a comprehensive health history. This includes inquiring about the patient's history or presence of problems related to...
Goodness-of-Fit Test
Naturalistic Observations
Data Validation
Key parameters for method validation include:
Factorial Design

