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 |
|
|
| 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
* Linear modelling refresher
* Analyzing repeated measures data
* Generalized linear modelling
* Exploratory factor analysis
* Confirmatory factor analysis, SEM |
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 |
| Central | Lecture | Class runs from 11am to 2pm | 2-11 | 11:10 - 13:00 | | | | |
| First Class |
Week 2, Monday, 11:10 - 13:00, Zone: Central. +1 hour. Appleton Tower Mezzanine |
| Additional information |
+ one hour |
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 |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Course teaching director: Dr Mike Allerhand on behalf of the Centre for Cognitive Ageing and Cognitive Epidemiology |
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 2010 The University of Edinburgh -
1 September 2010 6:37 am
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