The Role of Self-Talk in Regulating Public Speaking Anxiety in Ethnically Diverse Young Adults in Canada
Notice bibliographique
Résumé
Public speaking is a commonly required skill within academic and workplace settings, and the ability to confidently and effectively communicate orally in group contexts is highly valued. However, public speaking is uncomfortable for many individuals, often associated with behavioural, cognitive, and physiological manifestations of anxiety. This discomfort may be even greater in individuals who are required to speak in a language in which they do not feel adequately proficient. Given the importance of oral communication skills within academic, workplace, and community settings, it is imperative that individuals are able to effectively regulate this anxiety response. One way in which an individual might regulate is through the use of self-talk (i.e., talking silently to oneself; Bivens & Berk, 1990). The current two-phase study was conducted over the course of the COVID-19 pandemic (2021-2022). The primary purpose was to determine the influence that particular domains of self-talk (i.e., self-criticism, self-reinforcement, self-management, social-assessment; Brinthaupt et al., 2009) have on public speaking anxiety in a diverse group of undergraduate students. A secondary purpose of the current study was to determine the influence of English language proficiency on the use of self-talk, level of public speaking anxiety, and degree of foreign language anxiety. This was achieved, in part, by having participants with varying degrees of English language proficiency give an oral presentation in English in a virtual format. The current study utilized a concurrent design using a parallel approach, wherein quantitative and qualitative data were collected during the same period of time and integrated after data collection. Participants in Phase 1 (N = 365) ranged in age from 18 to 50 years (39 male, 319 female, 3 non-binary individuals). The participants’ self-reported self-critical self-talk and self-reinforcing self-talk predicted all domains of public speaking anxiety (i.e., total, behavioural, cognitive, physiological). Self-reported social-assessing self-talk predicted behavioural and cognitive domains of public speaking anxiety, whereas self-managing self-talk did not predict any domains of public speaking anxiety. Degree of English language proficiency did not predict total public speaking anxiety. Participant gender predicted willingness to participate in Phase 2 of the current study, while other variables of interest (i.e., total public speaking anxiety, English proficiency, previous experience) did not. Participants in Phase 2 (N = 21) ranged in age from 19 to 37 years (1 male, 19 female, 1 non-binary individual); they completed a virtual public speaking task and responded to interview questions. An inductive thematic analysis was conducted on the interview responses, and five themes were identified: 1) Self-Assessment of Task Competence, (2) “I Did Not Like That”: Experience and Drivers of Public Speaking Anxiety, (3) “It Added On The Original Stress”: The Impact of Language Proficiency, (4) “It Was Both Helping and Hindering”: The Role of Self-Talk in Managing and Exacerbating Anxiety, and (5) “Focus On Getting It Done”: Attempts at Problem-Focused Coping. Findings of the current study have a number of clinical and theoretical implications, including supporting the relation between both positive and negative self-talk with managing or exacerbating public speaking anxiety, and highlighting the importance of considering cultural and linguistic diversity when addressing public speaking anxiety.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».