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Record W6926278152 · doi:10.23641/asha.25237009

Caregiver perceptions based on child attributes (Miletic et al., 2024)

2024· other· en· W6926278152 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicYeasts and Rust Fungi Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionVariety (cybernetics)Intervention (counseling)Theme (computing)Sample (material)Social communicationStratified sampling

Abstract

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<b>Purpose:</b> More Than Words® (MTW) is a caregiver-mediated intervention program led by a speech-language pathologist (SLP) who teaches caregivers strategies to support their autistic child’s early social communication and play development. The program includes group sessions composed of multiple families with children of varying profiles. We explored whether caregiver experiences and perceived outcomes of the virtual MTW program differed depending on the child’s age and social communication stage.<b>Method:</b> As part of a program evaluation of virtual MTW delivered to over 2,000 families in Ontario, Canada, between 2020 and 2021, we randomly selected 31 families across four social communication stages and two age groups using stratified sampling (<i>n</i> = 4, in all but one subgroup). The<i> Final Reflection and Evaluation</i> form was analyzed both qualitatively and quantitatively, and a modified RE-AIM framework guided our analyses, including theme development.<b>Results:</b> Child attributes did not appear to impact caregivers’ experiences, but perceived child skill improvements varied by children’s social communication stage. The majority of caregivers reported changes in how they interact with their child. Four themes emerged: (a) perceived child skill improvements differed by social communication stage, (b) caregivers gained new knowledge and strategies regardless of child attributes, (c) SLPs effectively managed families’ individual needs, and (d) program components were appropriate for a variety of families.<b>Conclusions:</b> Findings suggest that the content taught in the MTW program was relevant for a variety of children, including those beyond the program’s intended age of 5 years and under. Grouping families of children with varying profiles does not appear to negatively influence caregivers’ experiences or perceived outcomes.<b>Supplemental Material S1.</b> Results from chi-square analysis of closed-ended question responses and child attributes.<b>Supplemental Material S2.</b> Final Reflection and Evaluation form.Miletic, K., Servais, M., Cardy, J. O., &amp; Denusik, L. (2024). Do caregiver perceptions of the virtual More Than Words® program differ based on autistic children’s attributes? <i>American Journal of Speech-Language Pathology</i>, <i>33</i>(3), 1127–1141. https://doi.org/10.1044/2024_AJSLP-23-00278

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0230.004

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 head0.017
GPT teacher head0.294
Teacher spread0.277 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueOpen MINDSame topicYeasts and Rust Fungi StudiesFrench-language works237,207