The Sport Experience Measure for Children and Youth (SEM:CY): A Rasch Validation Study
Bibliographic record
Abstract
This study employed Rasch analyses to validate a novel measure of sport experience: the Sport Experience Measure: Children and Youth (SEM:CY). Analyses were applied to self-reported data of n = 503 young people (age 9-18 years, M = 12.91, 50% female) in Canada who were engaging in sport during the previous 12 months. The revised measure, consisting of 24 items on a 3-point response scale, demonstrated good fit statistics (e.g., item fit residual: M = -0.50, SD = 0.94 and person fit residual: M = -0.62, SD = 2.33), an ability to reliably discriminate between levels of sport experience, and an absence of differential item functioning for various groups (males and females, older and younger individuals, solo and team sports, and those playing at various competitive levels, including recreation). The SEM:CY is a succinct tool that can serve as a valuable means to gauge the quality of an individual's sport experience, which can facilitate positive youth development and sustain participation across the life span.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".