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Record W2106356919 · doi:10.3102/0034654308320319

The Effect of Family Literacy Interventions on Children’s Acquisition of Reading From Kindergarten to Grade 3: A Meta-Analytic Review

2008· review· en· W2106356919 on OpenAlexaff
Monique Sénéchal, Laura Young

Bibliographic record

VenueReview of Educational Research · 2008
Typereview
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsUniversity of VictoriaCarleton University
Fundersnot available
KeywordsReading (process)Intervention (counseling)PsychologyPsychological interventionLiteracyDevelopmental psychologyMeta-analysisVariety (cybernetics)Family literacyPedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

This review focuses on intervention studies that tested whether parent–child reading activities would enhance children’s reading acquisition. The combined results for the 16 intervention studies, representing 1,340 families, were clear: Parent involvement has a positive effect on children’s reading acquisition. Further analyses revealed that interventions in which parents tutored their children using specific literacy activities produced larger effects than those in which parents listened to their children read books. The three studies in which parents read to their children did not result in significant reading gains. When deciding which type of intervention to implement, educators will have to weigh a variety of factors such as the differences in effectiveness across the different types of intervention, the amount of resources needed to implement the interventions, and the reading level of the children.

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)0.005
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.007
Bibliometrics0.0050.005
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.265
GPT teacher head0.563
Teacher spread0.298 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations434
Published2008
Admission routes1
Has abstractyes

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