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Record W2103617623 · doi:10.1177/1362361311413398

A systematic review of training programs for parents of children with autism spectrum disorders: Single subject contributions

2012· review· en· W2103617623 on OpenAlexaff
Stephanie Patterson, Veronica Smith, Pat Mirenda

Bibliographic record

VenueAutism · 2012
Typereview
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
Fundersnot available
KeywordsAutismPsychologyIntervention (counseling)Psychological interventionParent trainingGeneralizationDevelopmental psychologyClinical psychologyAutism spectrum disorderSingle-subject designPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

AIM: The purpose of this systematic review was to examine research utilizing single subject research designs (SSRD) to explore the effectiveness of interventions designed to increase parents' ability to support communication and social development in children with autism spectrum disorders (ASDs). METHOD: Included studies were systematically assessed for methodological quality (Logan et al., 2008; Smith et al., 2007) and intervention effects. Data examining participant characteristics, study methodology, outcomes, and analysis were systematically extracted. RESULTS: Eleven SSRD parent-training intervention studies examining 44 participants with ASD were included. Overall, the studies were of moderate quality and reported increases in parent skills and child language and communication outcomes. INTERPRETATION: The results supported by improvement rate difference (IRD) analysis indicated several interventions demonstrated positive effects for both parent and child outcomes. However, limited generalization and follow-up data suggested only one intervention demonstrated parents' accurate and ongoing intervention implementation beyond training.

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)0.008
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.039
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0080.006
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.095
GPT teacher head0.390
Teacher spread0.295 · 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 designSystematic review
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

Citations98
Published2012
Admission routes1
Has abstractyes

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