Undergraduate Course: Statistics and Experimental Design (LASC10033)
Course Outline
| School | School of Philosophy, Psychology and Language Sciences |
College | College of Arts, Humanities and Social Sciences |
| Credit level (Normal year taken) | SCQF Level 10 (Year 3 Undergraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| 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. |
| Course description |
This course introduces key principles of experimental design and statistical analysis as applicable to linguistic and psycholinguistic research. We will explore a range of widely-used statistical methods, and students will learn how to apply them and under what circumstances they are appropriate, as well as how to interpret their outputs in terms of the underlying research questions. We will also consider how to design experiments so as to yield meaningful results and be amenable to straightforward statistical analysis.
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Information for Visiting Students
| Pre-requisites | Visiting students should have completed at least 3 Linguistics/Language Sciences courses at grade B or above . We will only consider University/College level courses. |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2021/22, 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:
200
(
Lecture Hours 20,
Seminar/Tutorial Hours 10,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
166 )
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Assignment 1: 50%
Assignment 2: 50%
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| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- demonstrate an understanding of the difference between descriptive and inferential statistics;
- critically evaluate experimental designs and statistical analyses;
- perform a range of statistical analyses with a widely-used statistical software package;
- present the results of statistical analyses in a clear and comprehensible way.
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Christopher Cummins
Tel: (0131 6)50 6858
Email: ccummins@exseed.ed.ac.uk |
Course secretary | Mr Liam Hedley
Tel: (0131 6)50 9870
Email: liam.hedley@ed.ac.uk |
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