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
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| King's Buildings | Lecture | Class runs from 11am to 2pm; Teaching Studio 3217 JCMB | 2-11 | 11:10 - 13:00 | | | | |
| First Class |
Week 2, Monday, 11:10 - 13:00, Zone: King's Buildings. +1 hour. Venue TBC; Teaching Studio 3217 James Clerk Maxwell Building |
| Additional information |
+ one hour |
| No Exam Information |
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: alex.weiss@ed.ac.uk |
Course secretary |
Miss Toni Noble
Tel: (0131 6)51 3188
Email: Toni.noble@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
13 January 2011 6:40 am
|
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