using confidence interval-based estimation of relevance to select social-cognitive determinants for behavior change interventions

Klik: 330
ID: 150966
2017
Metrik Kualitas & Kinerja Artikel
Kualitas Keseluruhan
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
Penilaian Kualitas AI
Belum dianalisis
Readership in this journal
Emerging

Ranked #82 of 331 articles by views in Nanomaterials

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 331 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstrak
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 development process. Therefore, a study on determinants is often conducted as formative research in the intervention development process. Ideally, all relevant determinants identified 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 development. This approach is based on visualization of confidence intervals for the means and correlation coefficients 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.
Kunci Referensi
crutzen2017frontiersusing Gunakan kunci ini untuk mengutip otomatis dalam naskah saat menggunakan SciMatic Manuscript Manager atau Thesis Manager
Penulis ;Rik Crutzen;Gjalt-Jorn Ygram Peters;Gjalt-Jorn Ygram Peters;Judith Noijen
Jurnal Nanomaterials
Tahun 2017
DOI
10.3389/fpubh.2017.00165
URL
Kata Kunci

Sitasi

Tidak ada sitasi yang ditemukan. Untuk menambahkan sitasi, hubungi admin di info@scimatic.org

Belum ada komentar. Jadilah yang pertama berkomentar pada artikel ini.