# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "behaviorchange" in publications use:' type: software license: GPL-3.0-or-later title: 'behaviorchange: Tools for Behavior Change Researchers and Professionals' version: 0.5.5 identifiers: - type: doi value: 10.32614/CRAN.package.behaviorchange abstract: Contains specialised analyses and visualisation tools for behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots, see Crutzen, Noijen & Peters (2017) ), systematically developing, reporting, and analysing interventions (for example, using Acyclic Behavior Change Diagrams), and reporting about intervention effectiveness (for example, using the Numbers Needed for Change, see Gruijters & Peters (2017) ), and computing the required sample size (using the Meaningful Change Definition, see Gruijters & Peters (2020) ). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers. authors: - family-names: Peters given-names: Gjalt-Jorn email: behaviorchange@opens.science orcid: https://orcid.org/0000-0002-0336-9589 preferred-citation: type: manual title: 'The behaviorchange Package: Tools for Behavior Change Researchers and Professionals' authors: - family-names: Peters given-names: Gjalt-Jorn Ygram email: gjalt-jorn@a-bc.eu orcid: https://orcid.org/0000-0002-0336-9589 - family-names: Crutzen given-names: Rik email: rik@a-bc.eu orcid: https://orcid.org/0000-0002-3731-6610 - family-names: Gruijters given-names: Stefan email: mail@stefangruijters.nl orcid: https://orcid.org/0000-0003-0141-0071 year: '2024' url: https://behaviorchange.opens.science repository: https://CRAN.R-project.org/package=behaviorchange repository-code: https://gitlab.com/r-packages/behaviorchange url: https://r-packages.gitlab.io/behaviorchange date-released: '2023-03-04' contact: - family-names: Peters given-names: Gjalt-Jorn email: behaviorchange@opens.science orcid: https://orcid.org/0000-0002-0336-9589 references: - type: article title: 'Acyclic behavior change diagrams: a tool to report and analyze interventions' authors: - family-names: Metz given-names: Gido - family-names: Peters given-names: Gjalt-Jorn Ygram - family-names: Crutzen given-names: Rik volume: '10' issn: 2164-2850 url: https://www.tandfonline.com/doi/full/10.1080/21642850.2022.2149930 doi: 10.1080/21642850.2022.2149930 issue: '1' date-accessed: '2023-03-04' journal: Health Psychology and Behavioral Medicine month: '12' year: '2022' filename: Full Text:C\:\\Users\\gjalt\\Zotero\\storage\\NE9G8PIQ\\Metz et al. - 2022 - Acyclic behavior change diagrams a tool to report.pdf:application/pdf start: '1216' end: '1228' - type: article title: Using Confidence Interval-Based Estimation of Relevance to select social-cognitive determinants for behaviour change interventions authors: - family-names: Crutzen given-names: Rik - family-names: Peters given-names: Gjalt-Jorn Ygram - family-names: Noijen given-names: Judith volume: '5' copyright: All rights reserved issn: 2296-2565 doi: 10.3389/fpubh.2017.00165 abstract: When developing an intervention aimed at behaviour 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 in order to establish behaviour change. Insight into these determinants is needed to select behaviour change methods (i.e., general behaviour 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 behaviour 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 behaviour 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 MDMA (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. journal: Frontiers in Public Health year: '2017' keywords: - methods - determinants - intervention development - Determinants - behavior change - Methods - beliefs - i - based estimation of relevance - Behavior change - Beliefs - confidence interval- - Confidence Interval- Based Estimation of Relevance - Intervention development filename: Attachment:C\:\\Users\\gjalt\\Zotero\\storage\\93PB2DIP\\Crutzen et al. (2017) CIBER (FPH).pdf:application/pdf start: '165' - type: article title: A lean method for selecting determinants when developing behavior change interventions authors: - family-names: Crutzen given-names: Rik - family-names: Peters given-names: Gjalt-Jorn Ygram volume: '11' issn: 2164-2850 url: https://www.tandfonline.com/doi/full/10.1080/21642850.2023.2167719 doi: 10.1080/21642850.2023.2167719 issue: '1' date-accessed: '2023-03-04' journal: Health Psychology and Behavioral Medicine month: '12' year: '2023' filename: Full Text:C\:\\Users\\gjalt\\Zotero\\storage\\3QRK4QNT\\Crutzen and Peters - 2023 - A lean method for selecting determinants when deve.pdf:application/pdf start: '2167719'