Undergraduate Course: Psychology Methodology 1 (PSYL10034)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | This course covers a range of advanced, mainly multivariate, methods used in data analysis and includes a series of exercises to allow the development of SPSS skills. The examination consists of a set of compulsory short questions. These questions will focus in part on writing short notes on key topics and in part on commenting on outputs from data analyses. |
| Course description |
Not entered
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
Psychology 2 (PSYL08002)
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | Visiting students should have at least 3 Psychology courses at grade B or above (or be predicted to obtain this) and a basic background in statistics. We will only consider University/College level courses. |
Course Delivery Information
|
| Academic year 2014/15, Available to all students (SV1)
|
Quota: 0 |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
74 )
|
| Assessment (Further Info) |
Written Exam
62 %,
Coursework
38 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Three written practical assignments and degree exam. The componets of the course are weighted as follows:
Exam = 62.5%
Practical assignments (coursework) = 37.5% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | Psychology Methodology 1 | 2:00 | |
Learning Outcomes
- Understanding of the theory underlying the statistical techniques covered in the course.
- Ability to perform SPSS analyses on data using the statistical techniques covered in the course.
- Ability to choose appropriate analyses for different types of datasets.
- Understanding and use of stastistical power
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Wendy Johnson
Tel: (0131 6)51 1304
Email: wendy.johnson@ed.ac.uk |
Course secretary | Mr Simon Cann
Tel: 0131 650 9870
Email: Simon.Cann@ed.ac.uk |
|
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