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Record W4401052020 · doi:10.1177/07319487241259775

The Effects of a Morphological Awareness Intervention on Reading and Spelling Ability of Children With Dyslexia

2024· article· en· W4401052020 on OpenAlexaffabout
Barbara Bivar Mendes, John R. Kirby

Bibliographic record

VenueLearning Disability Quarterly · 2024
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsQueen's University
Fundersnot available
KeywordsSpellingMorphemePsychologyFluencyDyslexiaReading (process)LinguisticsPronunciationLearning disabilityMetalinguisticsCognitive psychologyDevelopmental psychologyMathematics educationVocabulary development

Abstract

fetched live from OpenAlex

This paper examines the effects of a morphological awareness intervention on the word reading and spelling skills of Grades 4 to 6 children with dyslexia. Sixteen children in eastern Ontario, Canada, received 20 hours of morphologically oriented instruction spread over 6 weeks and eight served as controls, and all received a battery of reading and spelling tests before and after the intervention. Students were taught the nature of morphology and the types of morphemes, how words could be assembled from morphemes or deconstructed into morphemes to make meaning from print and access the correct pronunciation, and how to use morphology in reading and spelling words. Repeated measures analyses of variance and analyses of covariance indicated that the experimental group showed significantly larger gains than the control group on measures of morphological awareness, morphological decoding, morphological analysis, and morphological spelling. There were no significant effects on word reading (fluency and accuracy) or on standardized spelling measures.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.295
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2024
Admission routes2
Has abstractyes

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