The other night my group mates and myself met to begin analyzing our data variables.  We started by getting all of our surveys together and assigning numerical scales for the responses, and immediately we began to run into problems, and notice things that we did wrong with the surveys.  The first problem was people just simply not taking the answers to the surveys seriously, putting in goofy answers that we could not use.  Also certain questions that called for numerical responses such as their PT score, some did not give an exact number.  So immediately we noticed that the specificity of some of our questions was not as high as it should have been.  Another problem was that some of the numerical answers did not fit cleanly in with our scales.  For example a response for how many hours spent studying a week might be answered as 12-15, while our scale measured in increments of 2 hours, so we had to create a standard of how to respond to those questions.  We improvised by choosing to use whichever was the lowest number they provided, so in this case we would use the 12, and did that across all similar responses.  While it was a struggle we were able to convert all our responses into variables and data in SPSS, identified which group members would be responsible for which parts of the project, identified our case study, and found the functions that we will use to perform our analysis.