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Profiling emotion regulation : exploring patterns of regulation in classroom behaviour

Emotion Regulation describes the ability to influence the experience and expression of affect. Adaptive emotion regulation contributes to healthy development, social competence and academic success (Kochanska, Murray & Harlan, 2000). This study investigated the behavioural strategies for emotion regulation, emotion expression, regulatory styles and classroom behaviour in middle childhood. One hundred and twenty-eight children were recruited from five UK public and private primary schools. From within their school setting, participant sensitivity to emotion-eliciting events was recorded using ambulatory skin conductance technology whilst age-group paired children performed two LEGO construction tasks. Observed behaviours were video-recorded and coded to establish frequencies of distinct regulatory behaviours. These were compared to self-reports of emotion regulation strategies and teacher-reports of classroom behaviour. Iterative partitioning cluster analysis methods were used to identify four regulatory profiles: 1) the ‘Adaptive’ cluster: employed high levels of positive problem solving and reappraisal strategies and frequently expressed both positive and negative emotions; 2) the ‘Maladaptive’ cluster: used more negative regulation (avoidant or obstructive strategies), expressed more negative emotion and had more social and behavioural problems in class; 3) the ‘Reactive’ cluster showed high levels of electrodermal activity, expressed little emotion and were reported as inattentive/hyperactive in class; and 4) the ‘Distracted’ cluster demonstrated high levels of behavioural and cognitive distraction. These results indicate four meaningful profiles that could support the identification of vulnerable individuals for positive school-based intervention and support.

Identiferoai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:744496
Date January 2018
CreatorsSinclaire-Harding, Lysandra
ContributorsWhitebread, David
PublisherUniversity of Cambridge
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Sourcehttps://www.repository.cam.ac.uk/handle/1810/271634

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