Food Literacy BITE Scale Survey Results from 690 U.S. Elementary Students
by Christine St. Pierre·Updated 3d ago
16.4 KB1files
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Description
Christine St. Pierre's dataset contains survey results from 690 4th and 5th-grade students across 10 elementary schools in Washington, DC, and Kentucky, collected to validate the Food Literacy BITE scale. The data includes responses to the BITE scale and food frequency questionnaires, used to assess differences by grade, sex, and food education exposure. The dataset was last updated on June 2, 2026, and is shared under a CC-BY-4.0 license.
Use Cases
Validate the measurement invariance of the Food Literacy BITE scale across demographic groups based on the described confirmatory factor analysis.
Compare mean food literacy scores by grade, sex, and food education history as detailed in the results.
Investigate associations between food literacy scores and food group consumption frequencies using the aggregated school-grade level data.
Identify which dimensions of food literacy (e.g., confidence in everyday food skills) are most impacted by experiential food education.
Strengths
Data from 690 student participants provides a substantive sample for analysis.
Survey administered across 10 elementary schools in two distinct U.S. regions (Washington, DC, and Kentucky).
Analysis demonstrates the tool's ability to differentiate scores by food education exposure, suggesting practical utility.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count for the primary data is unknown, which may limit suitability assessment.
The 16.4 KB file size suggests the dataset is very small, potentially containing only summary or aggregated results.
Provenance
Source
Christine St. Pierre via figshare.
Collection Method
Administered Food Literacy BITE scale and food frequency questionnaires to students.
Freshness
Last updated 2026-06-02 04:28:35; freshness should be verified.
Geography
Washington, DC, and Kentucky, United States.
Primary data file is a DOCX document, which may require extraction or conversion for analysis.