GERON GR 604L - Statistical Methods in the Analysis of Social Problems II

Formerly GERON GR 604
3 Credit(s) | Lecture | Graded
Not repeatable for credit

Description:
This required core course explores widely used regression methods in statistics and social science research including: ordinary least squares, probit, and logit regression models. Additional topics may include time series analysis, weighted least squares and non-linear transformations. The course focuses on how to select an appropriate model, specify its mathematical form, and use the model to test hypotheses and estimate outcomes. The course explores a variety of issues related to estimating regression models including mission variables, multi-collinearity, heteroskedasticity, and diagnostic procedures to identify and address these issues.

This course is cross-listed as PPOL-G 605L

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