Finishing participation data
Saanvi Y -
I have finally managed to digitise my hundreds of data points. I have now begun actual analysis. For my data, I average the rates of participation during the NGIR period and the rates of participation during the GIR period to complete a one tail t test. I use the the mean from NGIR as the basis of comparison, making my null hypothesis NGIR mean. For achievement, I do the same thing. I take the average scores for NGIR and GIR and complete a one tail t test.
While I do the tests for the overarching class, I also do the test with the specific gender groups. I find the NGIR and GIR means for the specific gender groups and perform the one tail t test to see whether or not the sexes are having a statistical positive increase.
The data itself hasn’t shown a 0 to 100 jump in participation. There are still kids who don’t participate in GIR and there are still kids who perform poorly in GIR. However, based on the t tests I have been able to complete thus far, there is still a statistical increase in participation for Argon. The class, the male population, and the female population have had a significant increase in their participation when going from the NGIR seating arrangement to the GIR. Later this week, I will be finalizing my data analysis and seeing whether Neon experienced the same.
For achievement, it takes a bit of time to grade all knowledge checks. Rather than having a 0-1 score, I have multiple questions and thus multiple points to see a range of achievement; students don’t exist in only fail-succeed situations. Based on the scores I have seen thus far, I am not very positive that there will be a large increase in achievement. This may just be the result of the length of the experiment. Two weeks in different seating arrangements can’t show the entirety of the student’s academic career. However, since I simply don’t have the time to track these students for a year, this will have to do. Participation is much easier to change compared to understanding of material. This exists as one of the flaws of my design. Hopefully, there will be a chance later for there to be research done on the long term effects of GIR on student achievement.