Undergraduate Course: Statistical Modelling for Social Scientists (SSPS10023)
Course Outline
| School | School of Social and Political Science |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Credits | 20 |
| Home subject area | School (School of Social and Political Studies) |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | 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 |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
| Not being delivered |
Summary of Intended 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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Assessment Information
40% mid-term exam (comprised of multiple-choice questions). This will constitute a formative feedback event.
60% take home exam (students will conduct a series of analysis tasks and report them). |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | |
Course secretary | |
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