Postgraduate Course: Statistics and Experimental Design (20 Credits) (LASC11170)
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 11 (Postgraduate) |
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 | None |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2021/22, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 27,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
169 )
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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%
Take Home Exam: 50% |
| Feedback |
Lab exercises will be provided that anticipate the format of the exam; model answers will be published. |
| No Exam Information |
Learning Outcomes
On completion of this course, the student will be able to:
- understand the difference between descriptive and inferential statistics, and the motivations for calculating and reporting each kind of statistic
- 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 accordance with the standards of the experimental linguistics literature
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Reading List
| Field, A., Miles, J., and Field, Z. (2012). Discovering Statistics Using R. London: SAGE Publications. |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | behaviour,analysis,experimental design,descriptive statistics,inferential statistics |
Contacts
| Course organiser | Dr Christopher Cummins
Tel: (0131 6)50 6858
Email: ccummins@exseed.ed.ac.uk |
Course secretary | Miss Toni Noble
Tel: (0131 6)51 3188
Email: Toni.noble@ed.ac.uk |
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