UPDATE 31-DEC-2020 We had two responses this month; two Level 4 entries. They were both correct! You can find an excel file with contestant information and code in this component. Our Level 4 sticker winner is B. Cameron Stumpf from George Fox University. Congratulations to our December 2020 entrants and winners! Our January contest will be posted on January 1. Be sure to follow #psichir on Twitter for updates! ____________ Our December 2020 contest uses data from Psi Chi's NICE:CROWD project. [Here][1] is a .csv for the data. [Here][2] is a codebook. You can read more about this project [here][3]. Your tasks for the PsiChiR contest include: - Level 1: Subset and filter your data so you have a dataset that excludes participants with missing values for "Race" and "Gender", and includes only these two variables plus the variable "COShcollect" (horrizontal collectivism) - Level 2: Calculate the means and standard deviations for COShcollect for all gender categories. - Level 3: Create a line graph that displays mean COShcollect scores for different race categories, with separate lines for each gender. - Level 4: Conduct a factorial ANOVA to compare COShcollect scores across race and gender. In order to complete each level, you need to complete all levels before (so in order to complete level 4, you also need to do 1, 2, and 3 correctly). [Submit your work here.][4] [1]: https://osf.io/qajr6/ [2]: https://osf.io/bqh87/ [3]: https://osf.io/qba7v/ [4]: https://docs.google.com/forms/d/e/1FAIpQLSdZ7NnxkIBNlvLgAXz6rgCWb8_pWw__fzamJpv4JfW8qq26Ew/viewform