Date of Award

2020

Degree Type

Thesis

Degree Name

Master of Science in Nutrition and Food Science

Department

Nutrition and Food Sciences

First Advisor

Alison Tovar

Abstract

Objective: This study describes the development and initial validation of a video coding tool to assess feeding practices observed in video-recorded family meals in order to provide feedback to caregivers. Methods: The tool with operational definitions was developed based on the previous literature and other tools that capture caregiver feeding practices. To assess face validity, a sample of child feeding experts (n=6) completed an 8-item online survey about content and usability. The tool was modified based on expert feedback and used to code 10 video-recorded family meals. Intraclass correlation coefficients (ICC) were calculated to determine inter-rater and test re-test reliabilities. Results: Using a scale of 0-100, tool usability (81.8 ± 11.7) and content (87.7 ± 14.0) were rated acceptable. ICC was calculated as 0.86, indicating a good inter-rater reliability and ICC for test re-test reliability was 0.95, indicating excellent reliability. Conclusions and Implications: Future studies should focus on the expansion of operational definitions and training efforts to further improve inter-rater and test re-test reliabilities.

Available for download on Saturday, November 07, 2020

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