Using Confidence Interval-Based Estimation of Relevance to select social-cognitive determinants for behaviour change interventions

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Description: When developing an intervention aimed at behavior change, one of the crucial steps in the development process is to select the most relevant social-cognitive determinants. These determinants can be seen as the buttons one needs to push to establish behavior change. Insight into these determinants is needed to select behavior change methods (i.e., general behavior change techniques that are applied in an intervention) in the devel- opment process. Therefore, a study on determinants is often conducted as formative research in the intervention development process. Ideally, all relevant determinants identi ed in such a study are addressed by an intervention. However, when developing a behavior change intervention, there are limits in terms of, for example, resources available for intervention development and the amount of content that participants of an intervention can be exposed to. Hence, it is important to select those determinants that are most relevant to the target behavior as these determinants should be addressed in an intervention. The aim of the current paper is to introduce a novel approach to select the most relevant social-cognitive determinants and use them in intervention develop- ment. This approach is based on visualization of con dence intervals for the means and correlation coef cients for all determinants simultaneously. This visualization facilitates comparison, which is necessary when making selections. By means of a case study on the determinants of using a high dose of 3,4-methylenedioxymethamphetamine (commonly known as ecstasy), we illustrate this approach. We provide a freely available tool to facilitate the analyses needed in this approach.

License: CC0 1.0 Universal


This repository belongs primarily to the article published in Frontiers in Public Health at and to the additional introduction published in the European Health Psychologist at The slides for the EHPS2018 presentation are available at The main analysis script output file can be directly viewed her...


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