A Comparison of Reading Screeners in Kindergarten: The Texas Primary Reading Inventory and Acadience Reading With English Learners and Monolingual English Speakers
Bibliographic record
Abstract
Measuring and identifying risk for reading difficulties at the kindergarten level is necessary for providing intervention as early as possible. The purpose of this study was to examine concurrent validity evidence of two kindergarten reading screeners, Acadience Reading and Texas Primary Reading Inventory (TPRI), as well as diagnostic accuracy at different performance levels on the Woodcock-Johnson IV (WJ IV) Reading Cluster and across ( N = 96) emergent bilingual and monolingual English learners in kindergarten. Findings indicated moderate correlations between Acadience Reading and TPRI with the WJ IV. Diagnostic accuracy results showed screening measures were inadequate when predicting WJ IV performance above 90 SS (standard score), but results improved for almost all measures and student groups when the threshold for performance was lowered to 80 SS. Acadience Reading Below Benchmark (AR BB) offered the lowest overall accuracy for emerging bilingual (EB) students. Implications for efficient and accurate use of reading screeners in schools are discussed.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".