MétaCan
Menu
Retour à la cohorte
Enregistrement W2002432229 · doi:10.1080/17408980701711983

Relative age effects on physical education attainment and school sport representation

2008· article· en· W2002432229 sur OpenAlexaff
Stephen Cobley, C. Abraham, Joseph Baker

Notice bibliographique

RevuePhysical Education and Sport Pedagogy · 2008
Typearticle
Langueen
DomainePsychology
ThématiqueSport Psychology and Performance
Établissements canadiensYork University
Organismes subventionnairesnon disponible
Mots-clésPhysical educationEducational attainmentPsychologyDemographyPedagogySociologyPolitical science

Résumé

récupéré en direct d'OpenAlex

Background: The ‘Relative Age Effect’ (RAE) has consistently been demonstrated to influence attainment in various contexts. In education, RAE appears to provide an advantage to those born during initial months of an academic year, compared with those born in later months. A similar effect has been noted in many sports, with those born shortly after a ‘cut-off’ date being over-represented compared to those born later in the year. Purpose: To determine if ‘relative age’ influenced attainment in physical education (PE) as well as school sport representation in a Key Stage 3 secondary school setting. Participants and setting: For the year 2003–2004, PE attainment data and sport participation records of 621 pupils (317 male, 304 female) aged 11–14 years old, at a large secondary school in the North of England were collated and analyzed. The school contained over 1300 pupils enrolled across Key Stages 3 and 4. During 2004, the school was rated as ‘very good’ in its educational provision by The Office for Standards in Education (OFSTED). Pupil attainment across the core subjects of English, Maths and Science was reported as similar to national averages, while the school's Physical Education (PE) provision was rated as ‘above the national average’. Research design: The research design was cross-sectional in nature, with its goal of assessing present patterns of PE attainment and sport participation in a case-study school. Data collection: Following institutional ethical approval and school consent, annual school records relating to pupils in Key Stage 3 were collected and examined. These records documented social-demographic details including gender, date of birth as well as attainment records of the pupil. PE attainment in Key Stage 3 was based upon observational assessments by PE teachers, where mark allocations reflected the degree of pupil progress and attainment in the academic year. The school PE department was also asked to provide sport participation information. Specifically, which pupils had represented the school at least twice in the sports of soccer, rugby, netball and rounders. Data analysis: Date of birth was coded into quartiles (i.e. three-month categories) to represent relative age. A two-way between group analyses of covariance (ANCOVA) was used to examine the influence of birth date and year group on PE attainment, while Chi-square analyses examined the relationship between date of birth and school sport representation. Findings: Main effects for birth-date (i.e. quartile) and year group on attainment in PE were found as were interactions between gender and year group. Observations of school sport representation data found higher frequencies of pupils born in the first quartile were representing the school across gender and sports. Conclusions: Current age-grouping, assessment and selection strategies in school may be compounding RAEs inside and outside the classroom. School PE and sport environments may be facilitating attainment and representation for the relatively few older individuals in each year group, whilst simultaneously disaffecting a high proportion of relatively younger pupils.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,280
Score d'incertitude au seuil0,930

Scores Codex et Gemma par catégorie

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

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 Opus0,028
Tête enseignante GPT0,416
Écart entre enseignants0,388 · 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 tête enseignante, 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

Citations82
Publié2008
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revuePhysical Education and Sport PedagogyMême sujetSport Psychology and PerformanceTravaux en français237 207