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
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
Students MUST have passed:
Psychology 2 (PSYL08002)
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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
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Academic year 2015/16, Available to all students (SV1)
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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 )
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Assessment (Further Info) |
Written Exam
62 %,
Coursework
38 %,
Practical Exam
0 %
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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 |
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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: |
Course secretary | Ms Stephanie Fong
Tel: (0131 6)50 3628
Email: |
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© Copyright 2015 The University of Edinburgh - 27 July 2015 11:54 am
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