EH110-7-SL-CO:
Introduction to Regression
2023/24
Essex Summer School in Social Science Data Analysis
Colchester Campus
Summer & Long Vacation
Postgraduate: Level 7
Current
Monday 22 April 2024
Wednesday 02 October 2024
15
03 February 2023
Requisites for this module
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This course covers regression analysis, both with continuous, ordinal, and categorical dependent variables. The focus will be on applied regression analysis, yet we will also deal with related topic like data treatment in Stata, interpretations, and how to test regression assumptions. The course includes ordinary least squares regression, logistic, ordinal, and multinomial regression, how to model and interpret non-linear effects as well as different types of statistical interactions. We will also focus on how to deal with breaches of assumptions.
No information available.
The course will enable the students to perform a range of regression models, to work with data treatment, and to be able to critically evaluate and interpret different types of regression models.
Course Prerequisites
The students should have some knowledge about basic descriptive statistics, measures of central tendency and spread. It is also good to have some knowledge about the statistical software Stata. However, instruction and notes will be made available, so it is possible for everyone to follow (though you must work harder if you do not have previous knowledge). The course will, to a large degree, follow the structure of the book Applied Statistics using Stata. In the reading list are also included short Sage books from the series Quantitative Application in the Social Sciences that dwell deeper into the topics of logistic regression and missing data (note that these are not Stata-books but deals more with statistical theory). In the recommended readings section, I have included to Stata introduction books for those who are not very comfortable with this software (you only need one of these), as well as a book on dummy variables and some additional chapters in our main book.
Course material
The students will have access to lectures, computer lab assignments, and datasets. The former two are also available as video-recordings (links to the lectures and computer instructions will be provided). There will be one topic each day, with a combination of online teaching with a following computer lab for each lecture (both will be through Zoom).
Be aware that even though the course is divided into 10 topics (one for each day), some topics require more work than others (especially topic #3).
Required Texts
Mehmetoglu, Mehmet & Tor G. Jakobsen (2022). Applied Statistics using Stata: A Guide for the Social Sciences, 2nd ed. Thousand Oaks, CA: Sage. Chapters: 1, 2, 3, 4, 5, 6, 7, 8 & 15. – (this text will be provided by ESS)
Recommended Readings
Acock, Alan C. (2018). A Gentle Introduction to Stata, 6th ed. College Station, TX: Stata Press.
Hardy, Melissa A. (1993). Regression with Dummy Variables. Thousand Oaks, CA: Sage.
Module information will be made available at https://essexsummerschool.com/.
Please contact essexsummerschoolssda@essex.ac.uk and govpgquery@essex.ac.uk with any queries.
No information available.
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
| Coursework / exam |
Description |
Deadline |
Coursework weighting |
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
No
No
No
Available via Moodle
No lecture recording information available for this module.
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