To cite {behaviorchange} in publications use one or more of these (whichever is or are more appropriate):

Peters G, Crutzen R, Gruijters S (2023). The behaviorchange Package: Tools for Behavior Change Researchers and Professionals. https://behaviorchange.opens.science.

Metz G, Peters GY, Crutzen R (2022). “Acyclic behavior change diagrams: a tool to report and analyze interventions.” Health Psychology and Behavioral Medicine, 10(1), 1216–1228. ISSN 2164-2850, doi:10.1080/21642850.2022.2149930, https://www.tandfonline.com/doi/full/10.1080/21642850.2022.2149930.

Crutzen R, Peters GY, Noijen J (2017). “Using Confidence Interval-Based Estimation of Relevance to select social-cognitive determinants for behaviour change interventions.” Frontiers in Public Health, 5, 165. ISSN 2296-2565, doi:10.3389/fpubh.2017.00165.

Crutzen R, Peters GY (2023). “A lean method for selecting determinants when developing behavior change interventions.” Health Psychology and Behavioral Medicine, 11(1), 2167719. ISSN 2164-2850, doi:10.1080/21642850.2023.2167719, https://www.tandfonline.com/doi/full/10.1080/21642850.2023.2167719.

Corresponding BibTeX entries:

  @Manual{,
    title = {The {behaviorchange} Package: Tools for Behavior Change
      Researchers and Professionals},
    author = {Gjalt-Jorn Ygram Peters and Rik Crutzen and Stefan
      Gruijters},
    year = {2023},
    url = {https://behaviorchange.opens.science},
  }

  @Article{metz_acyclic_2022,
    title = {Acyclic behavior change diagrams: a tool to report and
      analyze interventions},
    volume = {10},
    issn = {2164-2850},
    shorttitle = {Acyclic behavior change diagrams},
    url =
      {https://www.tandfonline.com/doi/full/10.1080/21642850.2022.2149930},
    doi = {10.1080/21642850.2022.2149930},
    language = {en},
    number = {1},
    urldate = {2023-03-04},
    journal = {Health Psychology and Behavioral Medicine},
    author = {Gido Metz and Gjalt-Jorn Ygram Peters and Rik Crutzen},
    month = {dec},
    year = {2022},
    pages = {1216--1228},
    file = {Full
      Text:C\:\\Users\\gjalt\\Zotero\\storage\\NE9G8PIQ\\Metz et al. -
      2022 - Acyclic behavior change diagrams a tool to
      report.pdf:application/pdf},
  }

  @Article{crutzen_using_2017,
    title = {Using {Confidence} {Interval}-{Based} {Estimation} of
      {Relevance} to select social-cognitive determinants for behaviour
      change interventions},
    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},
    author = {Rik Crutzen and Gjalt-Jorn Ygram Peters and Judith
      Noijen},
    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},
    pages = {165},
    file =
      {Attachment:C\:\\Users\\gjalt\\Zotero\\storage\\93PB2DIP\\Crutzen
      et al. (2017) CIBER (FPH).pdf:application/pdf},
  }

  @Article{crutzen_lean_2023,
    title = {A lean method for selecting determinants when developing
      behavior change interventions},
    volume = {11},
    issn = {2164-2850},
    url =
      {https://www.tandfonline.com/doi/full/10.1080/21642850.2023.2167719},
    doi = {10.1080/21642850.2023.2167719},
    language = {en},
    number = {1},
    urldate = {2023-03-04},
    journal = {Health Psychology and Behavioral Medicine},
    author = {Rik Crutzen and Gjalt-Jorn Ygram Peters},
    month = {dec},
    year = {2023},
    pages = {2167719},
    file = {Full
      Text:C\:\\Users\\gjalt\\Zotero\\storage\\3QRK4QNT\\Crutzen and
      Peters - 2023 - A lean method for selecting determinants when
      deve.pdf:application/pdf},
  }