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) <doi:10/ghtfz9>), 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) <doi:10/jzkt>), and computing the required sample size (using the Meaningful Change Definition, see Gruijters & Peters (2020) <doi:10/ghpnx8>). 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.
Package details |
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Author | Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Rik Crutzen [ctb] (<https://orcid.org/0000-0002-3731-6610>), Stefan Gruijters [ctb] (<https://orcid.org/0000-0003-0141-0071>) |
Maintainer | Gjalt-Jorn Peters <behaviorchange@opens.science> |
License | GPL (>= 3) |
Version | 0.5.5 |
URL | https://r-packages.gitlab.io/behaviorchange |
Package repository | View on CRAN |
Installation |
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