Information for module PSYCGR01
This module is available for: The current academic year and The next academic year(provisional)
If you're a member of UCL you can add this module to your personalised course list
This information is for guidance only. If you are a UCL undergraduate interested in studying one of these courses, you must seek permission from both the providing department and your 'home' department. Appearance in this database is not a guarantee that a course is running in any particular academic year.
|Module code:||PSYCGR01(Add to my personalised list)|
|Title:||Generic Research Skills (Statistics)|
|Division:||Division of Psychology and Language Sciences|
|Module organiser:||Maarten Speekenbrink|
|Organiser's location:||Room 204c, Bedford Way|
|Available for students in Year(s):|
|Module outline:||The course will cover various methods such as regression, ANOVA, ANCOVA, and repeated-measures analysis in the common framework of the General Linear Model (GLM). We will also cover extensions to linear mixed effects models and logistic regression. Particular attention will be given to the construction and comparison of models of the data.|
|Module aims:||This module is intended to give a more advanced and flexible understanding of the statistical methods to analyse experimental data. The aim is to give students with the skills and confidence to analyse their data, even in complex and non-standard cases.|
|Key skills provided by module:|
|Module assessment:||Unseen departmental test one 30.00%.|
Unseen departmental test two 30.00%.
Coursework (3,000-4,000 words in total) 40.00%.
|Notes:||This option module is available only for students from: MSc CoDeS, MSc Social Cognition, MSc Research Methods, MSc Cognitive Neuroscience, MSc Industrial/Organisational and Business Psychology and PhD students in PALS. There are 3 departmental tests (computerised exams) and only the two best marks achieved will count towards the final grade.|
|Taking this module as an option?:|
|Link to virtual learning environment(registered students only)||http://moodle.ucl.ac.uk/course/view.php?id=11131|
|Last updated:||2013-05-15 11:00:28 by|