Postgraduate Course: Multivariate Statistics and Methodology using R (PSYL11054)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Humanities and Social Science |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Credits | 10 |
| Home subject area | Psychology |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | The semester long course provides an Advanced level examination of a variety of statistical analysis techniques and methodology issues relevant to psychological research. It is taught using a combination of lab and lecture sessions and is suitable for students following Masters programmes in Psychology and Linguistics
R is a language and environment for statistical computing and graphics, based on the S language. R is a flexible and increasingly popular package for statistical analysis. It provides a wide variety of statistical and graphical techniques, including facilities to produce well-designed publication-quality plots.
Design and analysis are taught under a unifying framework which shows a) how research problems and design should inform which statistical method to use and b) that all statistical methods are special cases of a more general model. This course focuses on research in which 2 or more outcome variables are being studied simultaneously
Typical Syllabus
- Fundamentals of matrix algebra
- Fundamentals of calculus and maximum likelihood estimation
- Multilevel modeling I
- Multilevel modeling II
- Multilevel modeling III
- Factor analysis I
- Factor analysis II
- Factor analysis III
- Theory Consolidation R consolidation |
Information for Visiting Students
| Pre-requisites | None |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
| Not being delivered |
Summary of Intended Learning Outcomes
1. Understand a variety of issues regarding the choice of statistical analysis techniques for standard and unusual data sets.
2. Understand how to use the R language as a tool for data manipulation, analysis and graphics.
3. Become adept in expressing statistical models typically used in psychological research and interpreting their results. |
Assessment Information
| analyses of a data set |
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 | Dr Alexander Weiss
Tel: (0131 6)50 3456
Email: |
Course secretary | Miss Toni Noble
Tel: (0131 6)51 3188
Email: |
|
|
University Homepage