Postgraduate Course: Introduction to Statistics and Experimental Design (LASC11021)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | An introduction to good design and analysis of scientific studies of behaviour, the course covers issues in experimental design, descriptive statistics, and inferential statistics.
Formative feedback;
- Every lab session provides instant formative feedback.
- Part A feedback also serves a formative function. |
| Course description |
Not entered
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
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| Academic year 2014/15, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
| Course Start Date |
15/09/2014 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 54,
Feedback/Feedforward Hours 1,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
43 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
A project delivered in two separate parts will test the understanding and practical skills.
Part A assignment deadline: Thursday 30th October 2014, 12 noon (10%)
Return deadline: 21st November 2014
Part B assignment deadline: Thursday 27th November 2014, 12 noon(90%)
Return deadline: 19th December 2014
Students will also be interviewed in week 12 (TBC) as part of the Part B assignment. |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
| An understanding of internal and external validity, pertinent experimental designs, data as distributions; a grasp of statistical inference, ability to employ a statistical package to run commonly used descriptive and inferential statistics, and to interpret the results.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Ellen Bard
Tel: (0131 6)50 3951
Email: e.bard@ed.ac.uk |
Course secretary | Miss Toni Noble
Tel: (0131 6)51 3188
Email: Toni.noble@ed.ac.uk |
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