Undergraduate Course: Statistical Modelling for Social Scientists (SSPS10023)
Course Outline
| School | School of Social and Political Science |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | This course is designed to introduce students to a range of more advanced statistical modelling techniques that might be appropriate to the research questions they will consider in their dissertation work |
| Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
| Not being delivered |
Learning Outcomes
At the end of this course, students are expected to be familiar with the following techniques:
¿ Multinomial and ordinal regression
¿ Count data
¿ Event history techniques
¿ Log linear modelling
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | |
Course secretary | |
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