UPDATE 24-NOV-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 November 2020 entrants and winners! Our December contest will be posted on December 1. Be sure to follow #psichir on Twitter for updates! _______ Our November 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: Recode the FACES satisfaction subscale ("FACEsatis") into three categories: Low (10 - 23), Medium (24 - 37), and High (38 - 50) - Level 2: Calculate the means and standard deviations for the following variables: SSBQTotal, FACEchaotic, and SDQprosocial. - Level 3: Create a bar graph to compare the SSBQTotal means across FACEsatis groups. Include 95% confidence interval error bars. - Level 4: Test the hypothesis that SSBQTotal scores differ across the three FACEsatis groups. 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/1FAIpQLSelsgldrhx4eQrJmrHcbaUQMieq13fK74zuUGOy2Kv_mA_cCg/viewform