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Enregistrement W6987097742

The Self-Reference Effect on Memory Among 4- To 6-Year-Olds: The Role of Active Encoding and Cognitive Abilities

2023· dissertation· en· W6987097742 sur OpenAlexaboutno aff

Notice bibliographique

RevueScholarship at UWindsor (University of Windsor) · 2023
Typedissertation
Langueen
DomainePsychology
ThématiqueChild and Animal Learning Development
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEncoding (memory)Task (project management)RecallCognitionNoveltySet (abstract data type)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The self-reference effect (SRE) is the enhanced memory for information encoded with reference to oneself relative to information encoded with reference to another non-intimate person or the linguistic properties of a word (Rogers et al., 1977). This effect is measured with an encoding task and a surprise recall and/or recognition task. An important distinction among encoding tasks is whether they involve active or passive engagement with the to-be-remembered information. Tasks with active engagement require the participant to identify the relation between the referent and target object and then to perform a mental (e.g., evaluate desirability of objects) or physical (e.g., sort cards) action based on that relation. On the contrary, tasks with passive engagement only require the participant to identify the relation (e.g., state it aloud). It is speculated that actively engaging with the to-be-remembered information bolsters one's attention and depth of processing, and thereby improves encoding and later retrieval (e.g., Sui & Zhu, 2005). Although adults demonstrate greater SRE following active encoding tasks (Turk et al., 2008), the magnitude of the SRE of 4- to 6-year-old's does not differ across encoding tasks (Cunningham et al., 2014; Ross et al., 2020). Specifically, Cunningham et al. (2014) and Ross et al. (2020) compared a passive encoding task with an active encoding task involving mental judgement. No study has compared young children’s SRE on active encoding tasks that involve physical engagement with that of mentally active encoding tasks and passive encoding tasks. Thus, one goal of the present study was to evaluate the presence and magnitude of the SRE across these encoding tasks among 4- to 6-year-olds. Another goal of the present study was to examine the cognitive abilities associated with the SRE among 4- to 6-year-olds. Previous studies have examined the role of receptive vocabulary (Cunningham et al., 2013), theory of mind (Cunningham et al., 2013), and short-term auditory memory (Cunningham et al., 2014), but these constructs were not predictive of 4- to 6-year-olds’ memory advantage for self-referent information. Another previous study demonstrated the link between SRE and autobiographical memory (Ross et al., 2020). The present study aimed to replicate and extend the current body of literature by examining the role of expressive language abilities, receptive language abilities, auditory short-term memory, autobiographical memory, visual short-term memory, processing speed, theory of mind, cognitive flexibility, and attention. Participants were 4- to 6-year-old children living in Canada recruited on social media and from private schools, daycares, and community agencies. Parents completed online versions of a brief demographic questionnaire and the ADHD Rating Scale – IV, Home Version. Children met with a researcher virtually on Microsoft Teams to complete the SRE tasks as well as eight other tasks that were chosen as measures of certain cognitive abilities. Results indicated that only 6-year-olds correctly identified more self-referent objects as previously seen than other-referent objects as previously seen (recognition memory), and 4-, 5-, and 6-year-olds correctly sourced more self-referent objects as previously seen with their photograph than other-referent objects as previously seen with the control child’s photograph (source memory). The SRE was present with equal magnitude across active and passive encoding conditions. The results provide further evidence of the robust and influential nature of self-concept on young children’s memory. Additional analyses demonstrated that young children’s preferential source memory for self-referent information was predicted by autobiographical memory. Strengths and limitations of the current findings as well as applications and considerations for future research are discussed.

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)0,001
score de la tête « metaresearch » (Gemma)0,004
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 enseignants0,008
Score d'incertitude au seuil0,016

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,012
Tête enseignante GPT0,250
Écart entre enseignants0,238 · 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

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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