1. Responding to personalised social norms feedback from a web-based alcohol reduction intervention for students: Analysis of think-aloud verbal protocols.
- Author
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Marley S, Bekker HL, and Bewick BM
- Subjects
- Female, Humans, Male, Qualitative Research, Students statistics & numerical data, United Kingdom, Universities, Young Adult, Alcohol Drinking prevention & control, Alcohol Drinking psychology, Internet, Social Norms, Students psychology
- Abstract
Objectives: Web-based interventions enable organisations to deliver personalised individually tailored brief feedback to individuals without the need of a third party. Web-based interventions are effective in reducing alcohol consumption among university students. There is a paucity of evidence to indicate those who access web-based personalised feedback interventions respond in a way consistent with hypothesised active ingredients. This research uses the think-aloud technique to explore how students respond to instant web-based personalised normative feedback., Methods: Between-subjects experimental design employing qualitative methods. Twenty-one UK university students generated think-aloud transcripts while completing a web-based intervention (Unitcheck). This was followed by a semi-structured interview. One coding frame was developed to classify all utterances., Results: Narrative synthesis revealed five meta-themes: active thinking about alcohol use; comparisons with others; beliefs and knowledge about alcohol consumption; inter-relationship between personal codes and context; and engagement with Unitcheck., Conclusions: Students willingly engaged with the online assessment and personalised feedback. Students consciously engaged with the intervention and this engagement prompted students to actively consider their own behaviour, knowledge, perceptions, and to reflect on future behaviour. The ability of web-based personalised feedback interventions to effect change in individual's behaviours is likely related to their ability to encourage cognitive engagement and active processing of the information provided.
- Published
- 2016
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