Factors Related to Accessing Postsecondary School Supports by English Learners With Disabilities
Bibliographic record
Abstract
This study examined the relationship between demographic, disability-related, and transition planning experiences and accessing disability-specific and universally available supports at 2- and 4-year colleges by postsecondary students identified in secondary school as English learners with disabilities. Findings were based on secondary analysis of a nationally representative sample of approximately 160 English learners with disabilities included in the National Longitudinal Transition Study-2 (NLTS2). Logistic regression results identified two potentially malleable factors linked to increased likelihood of English learners with disabilities accessing postsecondary supports. If these students had a high school transition plan that indicated postsecondary supports as a needed post-high school service, when they attended college they were more likely to access both postsecondary disability-specific supports ( p < .01), and supports universally available to the full postsecondary student body ( p < .001). Aspects of self-determination also were related to an increased likelihood of seeking postsecondary supports. Higher levels of personal autonomy were positively related to accessing disability-specific ( p < .001) and universally available help ( p < .05), and higher levels of psychological empowerment were related to receipt of universally available supports ( p < .01). These findings demonstrate that high school professionals can support the postschool success of English learners with disabilities by influencing their likelihood of accessing beneficial supports in postsecondary school.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".