Lectures: 2 sessions / week, 1.5 hours / session
The purpose of this class is to introduce undergraduate political scientists to the basic quantitative tools of political science research. In particular, this class explores the key statistically-based research tools that social scientists use to frame and answer empirical questions. When you finish this subject you will have a better idea about what political scientists do with their time, be better able to read critically much of the professional literature in the field, and may very well have an employable skill. The most important purpose behind the political science laboratory, however, is to help you move from being a passive reader of social scientific tomes to being a creative producer of new insights.
Producing new knowledge, or systematically probing someone else's claims, can be a lot of fun. In order to get to the fun, there is a lot of stuff we have to consider. Consequently, this subject runs on three (roughly) parallel tracks so that we can accomplish everything we need to get done once the semester is over.
Leaving on Track 1 is statistics. Statistical reasoning is the most important method of testing hypotheses in the social sciences. Therefore the statistical introduction offered here forms the core of the subject. The approach I will take to statistics is informal and intuitive. The approach could be more formal and less intuitive, but that would leave us with less time to get on to the new knowledge part. If this subject piques your interest in statistical methods, or if you want a more rigorous treatment of the statistical topics addressed here, you might want to consider taking 17.846 (Multivariate Political Analysis), 14.31 (Econometrics), or 6.430J (Engineering Probability and Statistics).
Leaving on Track 2 are research mechanics. Serious scholarship requires hard work, organization, and attention to detail. Lots of people have lots of interesting ideas about how the social world works. Some of these ideas are right, others, nuts. In the long run the researchers who are taken the most seriously and who make the biggest contributions are the ones who get down and dirty with the data. And doing good empirical research involves knowing how libraries work, how to convince people to be interviewed by you, how to type numbers into a computer, how to write code in monster statistical packages, and how to craft a clear English-language sentence. We will therefore spend a good amount of time with the mundane tasks of learning how to use one specific statistical package (called STATA®) and learning how to write papers that follow a specific style book (Turabian's Manual for Writers of Term Papers, Theses, and Dissertations).
Leaving on Track C is a project of your own making. There is supposedly an old Chinese proverb that says, "I hear and I forget; I see and I remember; I do and I understand." It is this philosophy that drives the Institute's lab requirement, and it is the philosophy that drives this subject. You will be responsible for wading through the professional literature of political science, picking a subject that interests you, and applying the skills you're learning in this subject toward learning (and understanding) something new. I think this is the most interesting part of this subject. This can be fun, but it's also much more difficult than it first appears. Because doing original research is so hard, we have recently instituted a prerequisite for this subject and I am enforcing it pretty stringently. (I'll be a little more lenient on seniors who are majors and minors, because the prerequisite is new. However, I take the prerequisite seriously, and so should you.) The reason is that you need to have a pretty good understanding about what political science is and what political scientists do before taking this class. Otherwise, I can guarantee that you will be totally at sea the last half of the semester.
We will meet twice each week. During the first half of the semester the primary purpose of these meetings will be to review materials in two formats: lecture and discussion. The subject schedule that is given in the calendar section delineates what will happen each class meeting. I expect you to be prepared for each class meeting. Preparation will involve different things, depending on what we will be doing in that meeting. During some meetings I will be presenting material from one of the textbooks. For those, you will be expected to have done the textbook reading before the class. I will be paying attention to who seems prepared and who is not. If you are unprepared for a particular class meeting, come to class any way, because I will grade down people who are regularly absent from class.
During the second half of the semester we will meet twice each week to talk about your research projects. You will be required to make two class presentations during this period. At the first presentation you will be responsible for introducing the class to the problem you wish to address and how you plan to address it. At the second presentation you will be responsible for presenting your findings. These will be brief presentations, probably no more than 10-15 minutes apiece. Because you will be graded on these presentations, you should practice them beforehand. When you present will be chosen by lottery.
This is a labor-intensive subject and one that is constrained by the requirement that people present their work. Experience has demonstrated that sixteen is the maximum number who can take this subject profitably at one time. Therefore, if more than sixteen attend the first class meeting, I will assign everyone who attends a priority number, ranging from 1 to n, n being the number of people who attend. (There is a chance I may be able to expand this to 20 - stay tuned.) The priority system operates in the following order:
I will stringently enforce the published prerequisite for this class, and I will know if you have taken the subject. If you are a freshman, sophomore, or junior and have not taken 17.869, you may not take 17.871. If you are a senior and haven't taken 17.869 (formerly 17.197), you will be placed in whichever category above you belong in.