Evaluating Measurement Invariance in the Measurement of Developmental Assets in Latino English Language Groups Across Developmental Stages
Bibliographic record
Abstract
Noncognitive characteristics are gaining importance in addressing the persistent challenges facing youth in diverse settings. Measurement invariance of two youth developmental assets, Support and Positive Identity, is evaluated across grade levels and English language learner (ELL) subgroups of Latino students in 6th through 12th grade. Explanatory item response modeling is used to evaluate measurement invariance. The measurement of Latino students’ sense of support and positive identity varies depending on their developmental stage and language status. Students at later grade levels tend to require higher levels of Support to endorse items in the Support measure. There is a nonlinear relation between students’ grade level and item functioning for Positive Identity; students’ transition from middle to high school may influence the way they respond to Positive Identity items. This has implications for the measurement of assets with diverse Latino youth and for Latino youth development.
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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 | 0.021 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".