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Record W2156591075 · doi:10.1017/s0142716413000246

Morphological awareness and vocabulary acquisition: A longitudinal examination of their relationship in English-speaking children

2013· article· en· W2156591075 on OpenAlexaff
Erin Sparks, S. Hélène Deacon

Bibliographic record

VenueApplied Psycholinguistics · 2013
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVocabularyPsychologyPhonological awarenessPseudowordReading (process)Longitudinal studyVocabulary developmentNonverbal communicationDevelopmental psychologyMultilevel modelLinguisticsCognitionLiteracy

Abstract

fetched live from OpenAlex

ABSTRACT Although a relationship between morphological awareness and vocabulary has been widely observed, questions remain about the direction of that relationship. This longitudinal study explores the temporal relationship between morphological awareness and vocabulary among monolingual English-speaking children. Participants were 100 children tested in Grades 2 and 3. We evaluated morphological awareness and vocabulary in both grades, along with phonological awareness, word reading, pseudoword reading, and nonverbal reasoning. Cross-lagged regression analyses with autoregressive controls assessed the temporal relationship between morphological awareness and vocabulary; morphological awareness at Grade 2 predicted change in vocabulary between Grades 2 and 3, but vocabulary did not predict change in morphological awareness. The results add to our understanding of the relationship between these two developing skills.

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)0.002
metaresearch head score (Gemma)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.031
GPT teacher head0.298
Teacher spread0.266 · 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

Citations111
Published2013
Admission routes1
Has abstractyes

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