Direct and indirect effects of executive function on reading comprehension in young adults
Bibliographic record
Abstract
The purpose of this study was to examine what components of executive function (EF) – inhibition, shifting and updating/working memory – predict reading comprehension in young adults. Ninety university students (65 females, 25 males; mean age = 21.82 years) were assessed on shifting (Planned Connections and Colour/Shape Shifting), inhibition (Colour‐Word Stroop and Number Stroop), updating/working memory (Digit Memory and Listening Span), reading fluency (Word Reading Efficiency), vocabulary (Peabody Picture Vocabulary Test), and reading comprehension (Nelson‐Denny Reading Test). The results of path analysis indicated that only shifting predicted directly reading comprehension. These findings extend those of previous studies showing that different EF components predict different reading outcomes and suggest that EF has a place in reading comprehension models over and above traditional predictors of reading comprehension such as reading fluency and vocabulary.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".