daniels_2012 | R Documentation |
A dataset from Field, A. P. (2023). Discovering statistics using R and RStudio (2nd ed.). London: Sage.
daniels_2012
A tibble with 4 rows and 7 variables.
Women (and increasingly men) are bombared with 'idealized' images in the media and there is a growing concern about how these images affect our perceptions of ourselves. Daniels (2012) showed young women images of successful female athletes (e.g., Anna Kournikova) in which they were either playing sport (performance athlete images) or posing in bathing suits (sexualized images). Participants completed a short writing exercise after viewing these images. Each participant saw only one type of image, but several examples. Daniels then coded these written exercises and identified themes, one of which was whether women self-objectified (i.e., commented on their own appearance/attractiveness). Daniels hypothesized that women who viewed the sexualized images (n = 140) would self-objectify (i.e., this theme would be present in what they wrote) more than those who viewed the performance athlete pictures (n = 117, despite what the participants Section of the paper implies). These are the data from that study. The data contains the following variables:
picture: Whether the picture was of a performance athlete or a sexualized athlete
theme_present: whether a particular theme was present or absent from the participant's writing exercise
athletes_body: frequencies for the theme of the athlete's body
admiration: frequencies for the theme of admiration for the athlete
role_model: frequencies for the theme of the athlete being a role model
self_evaluation: frequencies for the theme of self-evaluation
self_physical_activity: frequencies for the theme of self physical activity
www.discovr.rocks/csv/daniels_2012.csv
Daniels, E. (2012). Sexy versus strong: What girls and women think of female athletes. Journal of Applied Developmental Psychology, 33, 79–90. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.appdev.2011.12.002")}
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