|
May 09, 2025
|
|
|
|
2019-2020 Graduate Catalog [ARCHIVED CATALOG]
|
GERON GR 604 - Statistical Methods in the Analysis of Social Problems II 3 Credit(s)
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.
018053:1
|
|