The Psychology of Mass-Interpersonal Behavioural Change Websites: a meta-analysis
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This paper presents a meta-analysis that investigates psychological design factors that can explain the efficacy of online behavioural change interventions. It makes a clear distinction between mass-media, interpersonal and mixed, mass-interpersonal communications. To this end, a model, called ‘the Communication-Based Influence Components Model’, is used to synthesize behavioural change and persuasion taxonomies.
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The Psychology of Mass-Interpersonal Behavioural Change Websites: a meta-analysis
- 1. The Psychology of Mass-Interpersonal Behavioural Change Websites : a meta-analysis Brian Cugelman, Prof. Mike Thelwall, Prof. Phil Dawes University of Wolverhampton Statistical Cybermetrics Research Group and the Wolverhampton Business School http://cybermetrics.wlv.ac.uk Medicine 2.0 Conference 17-18 September 2009 Toronto, Canada
- 3. 1. Background and Objectives
- 7. 2. Research Challenges & Solutions
- 11. Communication-Based Influence Components Model Framework to describe intervention psychology Cugelman, B. Thelwall, M. Dawes, P (2009)
- 12. 3. Meta-Analysis
- 14. 4. Findings
- 15. Effect Sizes Overall: d=.194, p=.000, k=30 d
- 16. Effect Size by Intervention Duration d
- 17. Dose: Three Variables COR r=.37, p<.000, k=5 Intervention Adherence Outcome Effect Size Study Adherence MR r= .481, p=.006, k=28 MR r=. 455, p=.109, k=13 COR r=.240, p<.000, k=9 COR: Correlation effect size MR: Meta-regression estimate
- 18. Relative Influence Components and Outcomes
- 19. Media Channel k % Across 30 Interventions Website & Email 20 66.7% Website 10 33.3%
- 20. Feedback Message k % Across 30 Interventions Tailoring 25 83.3% Personalization 12 40.0% Adaptation / Content matching 2 6.7%
- 21. Source Modifier k % Across 30 Interventions Attractiveness 5 16.7% Similarity 3 10.0% Credibility 1 3.3%
- 22. Source Encoding k % Across 30 Interventions Multiple Interactions 23 77% Single Interaction 3 10% Sequential Requests (Foot-in-the-door) 1 3%
- 23. Intervention Message Top 5 of 40 Behavioural Change Techniques k % Across 30 Interventions Provide information on consequences of behaviour in general 23 77% Goal setting (behaviour) 21 70% Provide feedback on performance 20 67% Prompt self-monitoring of behaviour 19 63% Provide instruction on how to perform the behaviour 18 60%
- 24. Audience Interpreter Top 5 of 12 Behavioural Determinants k % Across 30 Interventions Knowledge 30 100% Motivation and goals (Intention) 26 87% Social influences (Norms) 22 73% Beliefs about consequences 21 70% Skills 19 63%
- 25. 5. Conclusions
- 27. Thank you University of Wolverhampton Statistical Cybermetrics Research Group and the Wolverhampton Business School http://cybermetrics.wlv.ac.uk [email_address]