The symbolic links in this folder have the following targets:
MURI_AllSurveys - FINAL_073018.sav -> /home/vegayon/Dropbox/MURI USC/Data/Final data set/MURI_AllSurveys - FINAL_073018.sav
MURI_AllSurveys - FINAL - Group level data_1.sav -> /home/vegayon/Dropbox/MURI USC/Data/Final data set/MURI_AllSurveys - FINAL - Group level data_1.sav
Kayla's email
Essentially there are 3 types of variables: 1) individual variables that are participant demographics, and their scores on the personality and emotional/social intelligence measures; 2) relational variables (self-reported relationships among participants in the same team), and 3) team performance scores ('collective intelligence/CI' scores, and scores on the specific tests used to compute CI). -All data files (SPSS format) and codebooks are in this dropbox file: MURI USC\Data\Final data set -The individual-level data set (each row is our n=178 participants) is "MURI_AllSurveys - FINAL_073018.sav" -The group-level data set (each row is a group, n=42) is "MURI_AllSurveys - FINAL - Group level data_1" Jen made a codebook for the group-level data set: "Group-level dataset Codebook 6-5-17.xls" The description of the variables/coding frame for the individual data set is in SPSS. I'm not sure how to export this. I could fiddle with this in SPSS next week to try and work it out if you can't access it. There are a lot of individual variables assessing personality/social intelligence, that we've distilled to the following key constructs (which I think were clearly outline in the summary of the "profiles analysis" word doc that I emailed you): RME : this is the 'reading in the mind in the eyes' test score that represents social perceptiveness SI3Fac1: factor score for 1st factor that represents "socially accommodating" SI3Fac2: factor score for 2nd factor that represents "socially gregarious" SI3Fac3: factor score for 3rd factor that represents "socially aware"