SOCIOL 113
Statistical and Computer Methods for Social Research
Description: Lecture, three hours; laboratory, one hour. Requisite: Statistics 10. Continuation of Statistics 10, covering more advanced statistical techniques such as multiple regression, analysis of variance, or factor analysis. Content varies. Students learn how to use computer and write papers analyzing prepared data sets. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Most Helpful Review
Spring 2025 - Honestly? One of the best statistics professors I've had in my 4 years at UCLA. Dr. Wegemer is super passionate about what he teaches, provides (in my opinion) everything that you need to succeed in the class, and is very patient and approachable. The HWs were of a very reasonable length and focused on application of the exact concepts we learned in lecture. Unlike some stats professors I've had in the econ and stats departments, he does not test you on how fast you can mindlessly and manually do computations by hand. His tests focused on the intuition behind the concepts and were weighted fairly. A cool part of the class was developing our own survey items (based on our personal interests) and analyzing the responses we got from the class. I wasn't a soc major, but I believe the way he teaches is incredibly friendly to those with more of a social science/humanities background. Even if you're not a soc major but are just interested in applied stats + research in business, psychology, public health, etc., I'd highly recommend taking this class!
Spring 2025 - Honestly? One of the best statistics professors I've had in my 4 years at UCLA. Dr. Wegemer is super passionate about what he teaches, provides (in my opinion) everything that you need to succeed in the class, and is very patient and approachable. The HWs were of a very reasonable length and focused on application of the exact concepts we learned in lecture. Unlike some stats professors I've had in the econ and stats departments, he does not test you on how fast you can mindlessly and manually do computations by hand. His tests focused on the intuition behind the concepts and were weighted fairly. A cool part of the class was developing our own survey items (based on our personal interests) and analyzing the responses we got from the class. I wasn't a soc major, but I believe the way he teaches is incredibly friendly to those with more of a social science/humanities background. Even if you're not a soc major but are just interested in applied stats + research in business, psychology, public health, etc., I'd highly recommend taking this class!
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