My first experiences with SPSS have been good! So far, we have learned how to analyze basic descriptive statistics, specifically measures of central tendency like mean, median, and mode. We have also been able to create graphic representations of distributions with histograms, which makes it easy to visually see how data might be skewed to one side or the other.

Skewness is itself an interesting concept, as it measures the effect of outliers on the mean. I found it helpful that we can use skewness to test hypotheses about how data is distributed. For instance, if we theorize that a few states receive disproportionately higher defense spending, while most others receive a moderate amount, there should be a few positive outliers, meaning that the data will be skewed positive. Thanks to SPSS, we can test this in a matter of seconds.

I have a feeling that this is going to get a lot more complicated as we learn to run more advanced types of analyses. The key for me will be to make sure I read the chapter and do the examples ahead of time, so that I can work on the problems effectively in class. To help with this, I plan to make it a habit to read the chapter for the coming week every weekend.

I am both excited and apprehensive as I begin my study of Computer Analysis. I certainly think that it will benefit me to gain a better understanding of the methodology of Political Science in general, and specifically to learn how to collect and analyze data using SPSS. These skills will be applicable to my future studies in the discipline, and to my National Security Minor and Institute Honors theses in particular.

However, I am a bit concerned about the group project that will be due at the end of the semester. I have never done research on this scale before, and I understand that others who have taken this class before have found it difficult. I think the keys to success will be to select a manageable research question, divide the work among the members of my group, and start work early to avoid procrastination.