Assessing Implicit Evaluative Attitudes Toward Violence in Male Students, Male Community Members, and Men Convicted of Violent Offences
Notice bibliographique
Résumé
According to theory and research, evaluative attitudes are considered a central and precipitating factor in behaviour; however, this construct appears less focussed on within the violence literature.Evaluative attitudes can be classified as explicit (assessed with self-report scales) and implicit, often assessed using response latency measures.Some studies have reported a link between implicit evaluative attitudes toward violence, violent behaviour, and risk relevant constructs, whereas others have reported no link.The aim of this dissertation was to modify existing implicit procedures to assess implicit evaluative attitudes toward violence alongside other commonly assessed violent cognitions.Three response latency measures were administered: a traditional Implicit Association Test (IAT), Personalized IAT, and Relational Responding Task.A Pre-test was conducted to determine the optimal categories and stimuli to use for the implicit measures (N = 207 online adult males).The relationships between implicit evaluative attitudes toward violence, explicit evaluative attitudes toward violence, beliefs regarding violence, and violent behaviour were assessed among three samples of adult males: undergraduate students (N = 156) and community members (N = 95; Study 1), men convicted of violent offences (N = 33; Study 2), and community members recruited online (N = 627 and 820; Study 3).Overall, implicit evaluative attitudes toward violence were more strongly related to beliefs regarding violence than explicit evaluative attitudes toward violence.More positive implicit evaluative attitudes toward violence were consistently related to greater likelihood of violence.Explicit evaluative attitudes toward violence and beliefs regarding violence were moderately to strongly associated with one another, as well as violent outcomes.Using regression analyses, implicit evaluative attitudes toward IMPLICIT EVALUATIVE ATTITUDES TOWARD VIOLENCE iii violence consistently explained additional variance in likelihood of violence over explicit/self-report violent cognitions, as well as moderated the relationships between explicit/self-report violent cognitions and some violent outcomes (e.g., likelihood in Studies 1 and 3 and violence risk in Study 2).In Study 3, results from an exploratory factor analysis (EFA) demonstrated that each measure assessed its own cognitive construct regarding violence.Most factors from the EFA were significantly and incrementally related to violent outcomes.These findings will advance understanding of violent cognitions, their assessment, and role in violent behaviour.Keywords: implicit evaluative attitudes, explicit evaluative attitudes, beliefs regarding violence, violent cognitions, violent behaviour continued guidance, support, time, and effort he has invested in mentoring me throughout my doctorate, as well as the patience he has displayed in teaching me throughout the years that has provided me with the confidence to grow as a researcher.I met Kevin many years ago during my undergraduate degree when taking an introduction to forensic psychology course at Carleton, at which time I was an English major.That course inspired me to switch my major and pursue graduate studies in forensic psychology.Years later he took a chance on me, when few others did, by accepting me for my M.A.studies and later for my Ph.D.As such, I will forever be indebted to Kevin for where I am today and for all I have been able to accomplish over the last several years.He has taught me to think critically and provided me with invaluable skills in regard to teaching, managing research
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 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».