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 2019/20, 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
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Assessment information:
Project (50%). The project will be delivered in two parts, weighted at 5% and 45% of the total course assessment.
Final Examination (50%)
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| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | | 2:00 | |
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 |
| Additional Class Delivery Information |
Teaching Contact Time:
RUNS FOR 10 WEEKS. 2 hours lecture and 1 hour lab per week. |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Christopher Cummins
Tel: (0131 6)50 6858
Email: ccummins@exseed.ed.ac.uk |
Course secretary | Ms Lynne Robertson
Tel: (0131 6)50 9870
Email: Lynne.Robertson@ed.ac.uk |
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