Effects of morphological awareness, naming speed, and phonological awareness on reading skills from Grade 3 to Grade 5
Bibliographic record
Abstract
• We examine phonological awareness, naming speed, and morphological awareness as predictors of reading. • We test effects on various reading measures in Grades 3 and 5. • We find that developmental changes in the trajectories of these predictors account for additional variance in reading skills. • We show that these predictors account for changes in the trajectories of reading skills between Grades 3 and 5. This study examined the effects of phonological awareness, naming speed, and morphological awareness on reading achievement in 126 English-speaking Canadian children followed from Grade 3 to Grade 5. Reading measures included word reading accuracy, word reading speed, and passage comprehension in both grades as well as multi-morphemic word reading and text reading speed in Grade 5. After controlling for verbal and nonverbal ability, hierarchical regression analyses indicated that (a) all predictors contributed significantly to most reading measures in Grades 3 and 5 and longitudinally from Grade 3 to Grade 5; (b) changes in the trajectories of the three predictors across time contributed significantly to each of the reading outcomes; and (c) the three predictors contributed significantly to change in the trajectories of each of the reading measures. These results indicate continuing and pervasive roles for phonological awareness, naming speed, and morphological awareness over the later elementary school years, especially for morphological awareness in reading comprehension. We suggest that assessment and instruction include these underlying skills in the upper elementary grades to support students’ further reading development.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".