Morphological awareness: Construct and predictive validity in Arabic
Bibliographic record
Abstract
ABSTRACT The purposes of this study were to examine the dimensions underlying morphological awareness (MA) in Arabic (construct validity) and to determine how well MA predicted reading (predictive validity). Ten MA tasks varying in key dimensions (oral vs. written, single word vs. sentence contexts, and standard vs. local dialect) and two reading tasks (real word and pseudoword reading) were administered to 102 Arabic-speaking Grade 3 children in Abu-Dhabi. Factor analysis of the MA tasks yielded one predominant factor, supporting the construct validity of MA in Arabic. Closer inspection revealed that this factor had two subcomponents, oral and written. Hierarchical regression analyses, controlling for age and gender, indicated that both the one- and the two-factor solutions accounted for 48% of the variance in word reading, and 40% of the variance in pseudoword reading, supporting the predictive validity of MA. Implications for future research, assessment, and instruction 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 | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".