6 classes matched your search criteria.
PA 5032 is also offered in Spring 2025
PA 5032 is also offered in Spring 2024
PA 5032 is also offered in Spring 2023
PA 5032 is also offered in Spring 2022
Spring 2013 | PA 5032 Section 001: Intermediate Regression Analysis (47485)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- Delivery Medium
- Times and Locations:
- First Half of Term01/22/2013 - 03/11/2013Mon, Wed 09:45AM - 11:00AMUMTC, West BankHubert H Humphrey Center 25
- Also Offered:
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Description:
- This course is designed to help you read, understand, interpret, use and evaluate empirical work. To advance that goal, attention is concentrated on one of the main techniques used by social scientists and public policy researchers: regression analysis. You will learn the assumptions that underlie both bivariate and multivariate regression. You will learn how to perform regressions using STATA, perhaps the most widely used computer program in advanced social science research. Most important of all, you will learn to spot violations of the assumptions that give regression results desirable qualities and how to take the corrective measures necessary to improve your ability to make valid inferences
- Textbooks:
- https://bookstores.umn.edu/course-lookup/47485/1133
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2019.docx (Spring 2019)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2018.pdf (Spring 2018)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2016.pdf (Spring 2016) - Instructor Supplied Information Last Updated:
- 22 April 2013
Spring 2013 | PA 5032 Section 002: Intermediate Regression Analysis (47486)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
- Delivery Medium
- Times and Locations:
- First Half of Term01/22/2013 - 03/11/2013Fri 01:50PM - 02:40PMUMTC, West BankHubert H Humphrey Center 85
- Auto Enrolls With:
- Section 001
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Description:
- This course is designed to help you read, understand, interpret, use and evaluate empirical work. To advance that goal, attention is concentrated on one of the main techniques used by social scientists and public policy researchers: regression analysis. You will learn the assumptions that underlie both bivariate and multivariate regression. You will learn how to perform regressions using STATA, perhaps the most widely used computer program in advanced social science research. Most important of all, you will learn to spot violations of the assumptions that give regression results desirable qualities and how to take the corrective measures necessary to improve your ability to make valid inferences
- Textbooks:
- https://bookstores.umn.edu/course-lookup/47486/1133
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2019.docx (Spring 2019)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2018.pdf (Spring 2018)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2016.pdf (Spring 2016) - Instructor Supplied Information Last Updated:
- 22 April 2013
Spring 2013 | PA 5032 Section 003: Intermediate Regression Analysis (52518)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
- Delivery Medium
- Times and Locations:
- First Half of Term01/22/2013 - 03/11/2013Fri 12:45PM - 01:35PMUMTC, West BankHubert H Humphrey Center 85
- Auto Enrolls With:
- Section 001
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Description:
- This course is designed to help you read, understand, interpret, use and evaluate empirical work. To advance that goal, attention is concentrated on one of the main techniques used by social scientists and public policy researchers: regression analysis. You will learn the assumptions that underlie both bivariate and multivariate regression. You will learn how to perform regressions using STATA, perhaps the most widely used computer program in advanced social science research. Most important of all, you will learn to spot violations of the assumptions that give regression results desirable qualities and how to take the corrective measures necessary to improve your ability to make valid inferences
- Textbooks:
- https://bookstores.umn.edu/course-lookup/52518/1133
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2019.docx (Spring 2019)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2018.pdf (Spring 2018)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2016.pdf (Spring 2016) - Instructor Supplied Information Last Updated:
- 22 April 2013
Spring 2013 | PA 5032 Section 004: Intermediate Regression Analysis (48301)
- Instructor(s)
- Class Component:
- Lecture
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person Term Based
- Class Attributes:
- Delivery Medium
- Times and Locations:
- First Half of Term01/22/2013 - 03/11/2013Mon, Wed 05:45PM - 07:00PMUMTC, West BankBlegen Hall 435
- Also Offered:
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Description:
- This course is designed to help you read, understand, interpret, use and evaluate empirical work. To advance that goal, attention is concentrated on one of the main techniques used by social scientists and public policy researchers: regression analysis. You will learn the assumptions that underlie both bivariate and multivariate regression. You will learn how to perform regressions using STATA, perhaps the most widely used computer program in advanced social science research. Most important of all, you will learn to spot violations of the assumptions that give regression results desirable qualities and how to take the corrective measures necessary to improve your ability to make valid inferences
- Textbooks:
- https://bookstores.umn.edu/course-lookup/48301/1133
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2019.docx (Spring 2019)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2018.pdf (Spring 2018)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2016.pdf (Spring 2016) - Instructor Supplied Information Last Updated:
- 22 April 2013
Spring 2013 | PA 5032 Section 005: Intermediate Regression Analysis (51460)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
- Delivery Medium
- Times and Locations:
- First Half of Term01/22/2013 - 03/11/2013Wed 07:15PM - 08:05PMUMTC, West BankHubert H Humphrey Center 85
- Auto Enrolls With:
- Section 004
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Description:
- This course is designed to help you read, understand, interpret, use and evaluate empirical work. To advance that goal, attention is concentrated on one of the main techniques used by social scientists and public policy researchers: regression analysis. You will learn the assumptions that underlie both bivariate and multivariate regression. You will learn how to perform regressions using STATA, perhaps the most widely used computer program in advanced social science research. Most important of all, you will learn to spot violations of the assumptions that give regression results desirable qualities and how to take the corrective measures necessary to improve your ability to make valid inferences
- Textbooks:
- https://bookstores.umn.edu/course-lookup/51460/1133
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2019.docx (Spring 2019)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2018.pdf (Spring 2018)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2016.pdf (Spring 2016) - Instructor Supplied Information Last Updated:
- 22 April 2013
Spring 2013 | PA 5032 Section 006: Intermediate Regression Analysis (48302)
- Instructor(s)
- Class Component:
- Laboratory
- Class Attributes:
- Delivery Medium
- Times and Locations:
- First Half of Term01/22/2013 - 03/11/2013Wed 08:15PM - 09:05PMUMTC, West BankHubert H Humphrey Center 85
- Auto Enrolls With:
- Section 004
- Course Catalog Description:
- Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.
- Class Description:
- This course is designed to help you read, understand, interpret, use and evaluate empirical work. To advance that goal, attention is concentrated on one of the main techniques used by social scientists and public policy researchers: regression analysis. You will learn the assumptions that underlie both bivariate and multivariate regression. You will learn how to perform regressions using STATA, perhaps the most widely used computer program in advanced social science research. Most important of all, you will learn to spot violations of the assumptions that give regression results desirable qualities and how to take the corrective measures necessary to improve your ability to make valid inferences
- Textbooks:
- https://bookstores.umn.edu/course-lookup/48302/1133
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2019.docx (Spring 2019)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2018.pdf (Spring 2018)
http://classinfo.umn.edu/syllabi/kudrle_PA5032_Spring2016.pdf (Spring 2016) - Instructor Supplied Information Last Updated:
- 22 April 2013
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