Computers in Human Behavior

The dataset includes variables which were assessed in adolescent/mother and adolescent/father dyads, by a cross-sectional design. Gender was coded as 0 for males and 1 for females.

The dataset includes the variables which were assessed in adolescent/mother and adolescent/father dyads in a cross-sestional design. Gender was coded as 0 for males and 1 for females.

data from the submitted study "An experimental study of cyberstander reactions under community-related influences. When gender complicates matters." Excerpt from the Abstract: Our main research question focused on investigating whether and to what extent the four major factors and their potential interactions have a relevant influence on cyberstanders’ reactions. The participants (N=1859) were randomly assigned online to eight experimental conditions, in a 2x2x2x2 factorial design. The measurement instrument was a self-responded online questionnaire measuring the reaction to witnessing cyberbullying behavior. Our analysis identified significant effects of community rules, framing, and gender on the reaction of cyberbullying, but there was no similar effect of community rules. While specific combinations of community-related factors had a statistically significant effect on cyberstanders’ response, their effect sizes were small. We concluded that the impact of online community environmental features on individual response to cyberbullying is limited and can vary as a function of gender. Our results may indicate lower levels of social conformity in the communication environment specific to social network sites. Furthermore, these results suggest that the impact of gender on certain behavioral outcomes transcends the offline environment and manifests also within the virtual environment. Future research should continue and refine the study of the impact of various combinations of environmental factors on cyberstander reaction. Virtual communities might use framing and awareness-raising in increasing active resistance to cyberbullying.

The dataset includes self-report data from 1,763 adolescents between 12 and 16 years old, from schools in the Basque Country.

Participant responses for the second study in the ROBO-GUIDE project. Participants watched a video of a robot responding to its error in guiding a person around a building with either and apology, an explanation, neither, or both. Participant responses consist of demographic data, Godspeed Questionnaire, Trust items from an existing scale development paper, and intentions to use the robot. Averaged data and factors extracted are presented at the end of the data sheet.

Ratings of the emotions of human or animated instructors.

The data was collected from WeChat mini-game users.

The datasets analyzed during the study "Sense of agency concerning the interface predictability of computerized gambling reduces gambling-related biases in betting behavior" are available here. This includes all raw datasets of subjective expectation, betting behavior, and GBQ questionnaire in this study.

Data Survey

Demographic and outcome data.