Calibration of the food parenting practice (FPP) item bank: tools for improving the measurement of food parenting practices of parents of 5–12-year-old children
Bibliographic record
Abstract
PURPOSE: There has been a call to improve measurement rigour and standardization of food parenting practices measures, as well as aligning the measurement of food parenting practices with the parenting literature. Drawing from an expert-informed conceptual framework assessing three key domains of food parenting practices (autonomy promotion, control, and structure), this study combined factor analytic methods with Item Response Modeling (IRM) methodology to psychometrically validate responses to the Food Parenting Practice item bank. METHODS: A sample of 799 Canadian parents of 5-12-year-old children completed the Food Parenting Practice item bank (129 items measuring 17 constructs). The factorial structure of the responses to the item bank was assessed with confirmatory factor analysis (CFA), confirmatory bi-factor item analysis, and IRM. Following these analyses, differential Item Functioning (DIF) and Differential Response Functioning (DRF) analyses were then used to test invariance properties by parents' sex, income and ethnicity. Finally, the efficiency of the item bank was examined using computerized adaptive testing simulations to identify the items to include in a short form. RESULTS: Overall, the expert-informed conceptual framework was predominantly supported by the CFA as it retained the same 17 constructs included in the conceptual framework with the exception of the access/availability and permissive constructs which were respectively renamed covert control and accommodating the child to better reflect the content of the final solution. The bi-factor item analyses and IRM analyses revealed that the solution could be simplified to 11 unidimensional constructs and the full item bank included 86-items (empirical reliability from 0.78 to 0.96, except for 1 construct) and the short form had 48 items. CONCLUSION: Overall the food parenting practice item bank has excellent psychometric properties. The item bank includes an expanded version and short version to meet various study needs. This study provides more efficient tools for assessing how food parenting practices influence child dietary behaviours. Next steps are to use the IRM calibrated item bank and draw on computerized adaptive testing methodology to administer the item bank and provide flexibility in item selection.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".