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Enregistrement W2905848959 · doi:10.1044/aas17.1.13

Outcomes Measurement and Management

2007· article· en· W2905848959 sur OpenAlexaboutno aff
Brenda C. Seal, Jane C. Hilton

Notice bibliographique

RevuePerspectives on Administration and Supervision · 2007
Typearticle
Langueen
DomaineNeuroscience
ThématiqueAutism Spectrum Disorder Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésContext (archaeology)HabilitationLibrary sciencePsychologyViewpointsMedical educationMedicineHistoryHumanitiesComputer scienceArt

Résumé

récupéré en direct d'OpenAlex

No AccessPerspectives on Administration and SupervisionArticle1 Mar 2007Outcomes Measurement and ManagementTreatment Fidelity in Clinical Training and Research: Supervising Graduate Clinicians in Autism Melanie Hudson, Brenda C. Seal, and Jane C. Hilton Melanie Hudson Google Scholar More articles by this author , Brenda C. Seal James Madison UniversityHarrisonburg, VA Google Scholar More articles by this author and Jane C. Hilton James Madison UniversityHarrisonburg, VA Google Scholar More articles by this author https://doi.org/10.1044/aas17.1.13 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationTrack Citations ShareFacebookTwitterLinked In References American Academy of Neurology and the Child Neurology Society (2000). Practice parameter: Screening and diagnosis of autism spectrum disorders..Neurology, 55, 468–479. Google Scholar Apel, K. (2006). Integrating clinical and research viewpoints into graduate education..The ASHA Leader, 11(5), 8–9. 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Retrieved October 17, 2006, from www.capcsd.org Google Scholar Koegel, R. L., Camarata, S., Koegel, L. K., Ben-Tall, A., & Smith, A. E. (1998). Increasing speech intelligibility in children with autism..Journal of Autism and Developmental Disorders, 28, 241–251. Google Scholar Koegel, R. L., & Williams, J. A. (1980). Direct versus indirect response-reinforcer relationships in teaching autistic children..Journal of Abnormal Child Psychology, 8, 537–547. Google Scholar Lord, C., & McGee, J. P., National Research Council. (2001). Educating children with autism. Washington, DC: National Academy Press. Google Scholar Lord, C., Wagner, A., Rogers, S., Szatmari, P., Aman, M., Charman, T., Dawson, G., et al.National Institutes of Health. (2005). Challenges in evaluating psychosocial interventions for autistic spectrum disorders..Journal of Autism and Developmental Disorders, 35, 695–708. Google Scholar Lovaas, O. I. (1977). The autistic child: Language development through behavior modification. New York: Irvington Publishers. Google Scholar Lovaas, O. I. (1987). Behavioral treatment and normal educational and intellectual functioning in young autistic children..Journal of Consulting and Clinical Psychology, 55, 3–9. Google Scholar MacDonald, J. (1989). Becoming partners with children: From play to conversation. San Antonio, TX: Special Press. Google Scholar Manolson, J. (1992). It takes two to talk: A parents guide to helping children communicate. Toronto: The Hanen Centre. Google Scholar Maurice, C., Green, G., & Luce, S. (1996). Behavioral intervention for young children with autism: A manual for parents and professionals. Austin, TX: PRO-ED. Google Scholar McEachin, J. J., Smith, T., & Lovaas, O. I. (1993). Long-term outcome for children with autism who received early intensive behavioral treatment..American Journal on Mental Retardation, 97, 359–372. Google Scholar McGee, G. G., Krantz, P. J., & McClannahan, L. E. (1985). The facilitative effects of incidental teaching on preposition use by autistic children..Journal of Applied Behavior Analysis, 18, 17–31. Google Scholar McGee, G. G., & Morrier, M. J. (2005). Preparation of autism specialists.In F. R. Volkmar, R. Paul, A. Klin, & D. Cohen (Eds.), Handbook of autism and pervasive developmental disorders (3rd ed., Vol. 2, pp. 1123–1160). Hoboken, NJ: John Wiley & Sons. Google Scholar National Alliance for Autism Research. (n.d.). About autism. Retrieved October 17, 2006, from www.naar.org/ Google Scholar Owens, R. (1999). Language disorders: A functional method to assessment and intervention (3rd ed.). Boston: Allyn & Bacon. Google Scholar Prizant, B .M., & Wetherby, A. M. (2005). Critical issues in enhancing communication abilities for persons with autism spectrum disorders.In F. R. Volkmar, R. Paul, A. Klin, & D. Cohen (Eds.), Handbook of autism and pervasive developmental disorders (3rd ed., Vol. 2, pp. 925–945). Hoboken, NJ: John Wiley & Sons. Google Scholar Prutting, C. (1982). Pragmatics as social competence..Journal of Speech and Hearing Disorders, 47, 123–134. Google Scholar Richard, G. J. (2000). The source for treatment methodologies in autism. East Moline, IL: Lingui Systems. Google Scholar Robertson, S. B., & Weismer, S. E. (1999). Effects of treatment on linguistic and social skills in toddlers with delayed language development..Journal of Speech, Language, and Hearing Research, 42, 1234–1248. Google Scholar Rumsey, J. M., Vitiello, B., Cooper, J., & Hirtz, D. (2000). Editorial preface..Journal of Autism and Developmental Disorders, 30, 369–371. Google Scholar Schopler, E. (1994). A state wide program for the treatment and education of autistic and related communication handicapped children (TEACCH)..Psychoses and Pervasive Developmental Disorders, 3, 91–102. Google Scholar Seal, B. C., & Jones-Oleson, L. (1999, November). Observation protocol for preservice clinicians working with clients with autism. Presentation at the ASHA annual Convention, San Francisco, CA. Google Scholar Seal, B. C., & Runyan, S. E. (1988). Time management in clinical supervision..Asha, 30(6-7), 59–62. Google Scholar Simpson, R. L. (2004). Finding effective intervention and personnel preparation practices for students with autism spectrum disorders..Exceptional Children, 70, 135–144. Google Scholar Stodden, R. A.(Chair of the Critical Issues Committee, Division on Development Disabilities, CEC). (2003). CEC-DDD and autism spectrum disorders: A position paper of CEC-DDD. Retrieved October 17, 2006, from www.dddcec.org/positionpapers.htm Google Scholar Tanguay, P. E., Robertson, J., & Derrick, A. (1998). A dimensional classification of autism spectrum disorder bysocialcommunicationdomains..Journal of the American Academy of Child & Adolescent Psychiatry, 37, 271–277. Google Scholar Thacker, C. (2001). Handbook on autism. SSTA Research Centre Report #98-01. Retrieved February 22, 2006, from www.ssta.sk.ca/research/students/98-01.htm Google Scholar Weiss, R. (1981). INREAL intervention for language handicapped and bilingual children..Journal of the Division of Early Childhood, 4, 40–51. Google Scholar Wetherby, A., & Prizant, B. (1999). Communication and Symbolic Behavior Scales. Chicago: Applied Symbolix. Google Scholar Wetherby, A., & Prizant, B. (2000). Autism spectrum disorders: A developmental, transactional perspective. Baltimore: Paul H. Brookes. Google Scholar Williams, J. A., Koegel, R. L., & Egel, A. L. (1981). Response-reinforcer relationships and improved learning in autistic children..Journal of Applied Behavior Analysis, 14, 53–60. Google Scholar Wolery, M., & Garfinkle, A. N. (2002). Measures in intervention research with young children who have autism..Journal of Autism and Developmental Disorders, 32, 463–478. Google Scholar Additional Resources FiguresReferencesRelatedDetails Volume 17Issue 1March 2007Pages: 13-20 Get Permissions Add to your Mendeley library History Published in issue: Mar 1, 2007 Metrics Topicsasha-topicsasha-sigsasha-article-typesCopyright & Permissions© 2007 American Speech-Language-Hearing AssociationPDF downloadLoading ...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,045
score de la tête « metaresearch » (Gemma)0,132
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,118
Score d'incertitude au seuil0,395

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0450,132
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,003
Bibliométrie0,0090,008
Études des sciences et des technologies0,0020,001
Communication savante0,0060,004
Science ouverte0,0040,007
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,1180,036

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,063
Tête enseignante GPT0,339
Écart entre enseignants0,276 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2007
Routes d'admission1
Résumé présentoui

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