partypanelData | R Documentation |
These are subsets of Party Panel datasets. Party Panel is an annual semi-panel determinant study among Dutch nightlife patrons, where every year, the determinants of another nightlife-related risk behavior are mapped.
data(BBC_pp15.1) data(BBC_pp16.1) data(BBC_pp17.1) data(BBC_pp18.1)
For BBC_pp15.1, a data.frame
with 123 columns and 829 rows.
For BBC_pp16.1, a data.frame
with 63 columns and 1077 rows.
For BBC_pp17.1, a data.frame
with 94 columns and 943 rows.
For BBC_pp18.1, a data.frame
with 84 columns and 880 rows.
Note that many rows contain missing values; the columns and rows
were taken directly from the original Party Panel datasets, and
represent all participants that made it past a given behavior.
The behaviors of the Party Panel waves were:
2015: Behaviors related to using highly dosed ecstasy pills
2016: Behaviors related to visiting nightlife first-aid facilities
2017: Behaviors related to hearing protection
2018: Behaviors related to flirting and boundary crossing
2019: Behaviors related to sleeping hygiene surrounding nightlife participation
The full datasets are publicly available through the Open Science Framework (https://osf.io/s4fmu/). Also see the GitLab repositories (https://gitlab.com/partypanel) and the website at https://partypanel.eu.
data('BBC_pp17.1', package='behaviorchange'); behaviorchange::CIBERlite(data=BBC_pp17.1, determinants=c("epw_attitude", "epw_perceivedNorm", "epw_pbc", "epw_habit"), targets=c("epw_intention"));
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