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Enregistrement W1535310402

Factors Related to Sustained Implementation of Schoolwide Positive Behavior Support.

2013· article· en· W1535310402 sur OpenAlexaff
Kent McIntosh, Sterett H. Mercer, Amanda E. Hume, Jennifer Frank, Mary G. Turri, Susanna Mathews

Notice bibliographique

RevueExceptional Children · 2013
Typearticle
Langueen
DomainePsychology
ThématiqueBehavioral and Psychological Studies
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionContext (archaeology)FidelitySustainabilityPsychologyPositive behavior supportInclusion (mineral)Medical educationPublic relationsSocial psychologyIntervention (counseling)Political scienceComputer scienceMedicineEcology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Although sustainability of evidence-based interventions is consistently noted in the literature as critical goal for both researchers and practitioners (Adelman & Taylor, 2003; Fixsen, Naoom, Blase, Friedman, & Wallace, 2005; Gersten, Chard, & Baker, 2000), there has been little large-scale empirical research into the phenomenon since seminal work published over 30 years ago (e.g., Berman & McLaughlin, 1976). As result, practitioners have had to rely primarily on anecdotal evidence or untested theories for guidance. With the growing research base for some interventions and proliferation of reviews of evidence-based practices (e.g., http://casel.org; http://whatworks.ed.gov), attention to how these practices can be sustained is warranted. Sustainability has been defined as a practice's potential for durable with high fidelity, when considering features of the practice, its implementation, and the context of implementation (McIntosh & Turri, in press). Implementing systems-level school-based practices with fidelity requires considerable amount of resources (e.g., time, external support). Moreover, each school context is dynamic, changing significantly and unpredictably across and within school years. In review of stages of practice implementation, Fixsen and colleagues (2005) describe the sustainability stage as the process of maintaining fidelity through these inevitable changes so that the practice continues to be effective in the long term. Given the constant threat of practice abandonment (e.g., Santangelo, 2009), continued support for schools that are implementing practices is needed. However, there are an overwhelming number of aspects of the practice to target for sustainability, and limited educational resources necessitate specific and directed support. As such, it is worthwhile to identify the most important variables to support most effectively (Adelman & Taylor, 2003). A MODEL OF SUSTAINABILITY OF SCHOOL-BASED PRACTICES Despite the dearth of large-scale research into sustainability, some articles in recent years have aimed to shed light on the phenomenon of sustainability. These articles are primarily theoretical papers, retrospective case studies, and small-scale qualitative research studies, with some notable exceptions (e.g., Coffey & Horner, 2012). From this literature, McIntosh, Horner, et al. (2009) proposed model of sustainability of school-based practices that includes three iterative steps, four hypothesized factors, and potential mechanisms by which these factors affect sustainability. The steps are identifying valued outcomes, identifying and modifying practices, and implementing practices. Outcomes of the practices are then compared to the desired outcomes. If the practice is seen as viable for meeting those outcomes, school personnel and stakeholders may choose to continue implementing or modify the practice. Through these steps, contextual factors act to enhance or impede sustainability. These hypothesized factors are priority, effectiveness, efficiency, and continuous regeneration. These factors are assumed to build upon each other, such that heightened priority leads to improved implementation, enhancing effectiveness and perceived efficiency, with continuous regeneration acting upon all three. Likewise, deficiencies in one factor may negatively affect the other factors, threatening sustainability. PRIORITY Priority is the relative importance of the practice in comparison to other practices (McIntosh, Horner, et al., 2009). It includes general, often intangible support for the specific practice, amidst sea of competing initiatives. Priority acts on sustainability by increasing the likelihood that school personnel will engage in activities instead of competing tasks. It can be manifested at the individual, school, district, regional, and state levels and is considered to be multifaceted. …

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)0,014
score de la tête « metaresearch » (Gemma)0,088
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,014
Score d'incertitude au seuil0,072

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,088
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0010,002
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0060,000

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 Opus0,069
Tête enseignante GPT0,368
Écart entre enseignants0,299 · 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'étudeObservationnel
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

Citations184
Publié2013
Routes d'admission1
Résumé présentoui

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