An e-Delphi study to evaluate content validity of the Teacher Food and Nutrition-Questionnaire
Bibliographic record
Abstract
Teacher food and nutrition (FN) related factors include diet quality, health perceptions and FN attitudes. These factors are associated with both personal health and wellbeing, and teacher classroom FN practices. With Australian schoolteachers currently experiencing high levels of stress, anxiety and burnout, measuring and understanding the status of teacher FN-related health and wellbeing is needed. However, first there needs to be a comprehensive and validated tool to collect these data. This study aims to evaluate content validity of a new tool, the Teacher Food and Nutrition Questionnaire (TFNQ), to measure FN-related health and wellbeing of Australian schoolteachers. The TFNQ was developed following an extensive literature review of FN data collection methods previously used in schoolteacher populations internationally. It initially included 16 FN-related constructs alongside six constructs of wellbeing and mental health, and seven lifestyle covariates identified from the literature review. A two-round e-Delphi methodology was implemented using a mix of structured, rank-order and qualitative questions administered to an international, multidisciplinary group of experts via an online survey 1 . Descriptive statistics were used to derive a consensus vote (set at 75%) of constructs and covariates to be prioritised for inclusion. Qualitative feedback was analysed to identify areas of potential change. Twenty-three experts participated in round-one from Australia (n = 15), Switzerland (n = 3), The United Kingdom (n = 2), Canada (n = 1), The United States of America (n = 1) and New Zealand (n = 1). Of the 29 constructs and covariates evaluated in round-one of the e-Delphi, all achieved above 75% consensus, yet qualitative feedback indicated potential to reduce and streamline the number of constructs. Rank order questions and qualitative feedback resulted in the removal of four FN and two wellbeing constructs along with four lifestyle covariates. Round-two included 19 (83%) experts from round-one, with 83% (n = 15) in agreement regarding question order. Final feedback indicated only minor adjustments to question item phrasing. The e-Delphi process modified the TNFQ and established content validity. Further construct validity and reliability testing is required to produce a robust tool for measuring FN-related health and wellbeing of contemporary Australian schoolteachers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".