Undergraduate Course: Psychology Methodology 1 (PSYL10034)
|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
|Summary||This course covers a range of inferential statistical procedures and how to conduct these analyses using SPSS. The course covers regression, ANOVA and factor analysis as well as an introduction to power analysis.
This course is taught using a combination of lectures and practical exercises. Together with Methodology 2, the course is designed to provide students with a good range of methodology skills required for research and project work in psychology, especially the Y4 dissertation.
Methodology 1 focuses on inferential statistical approaches to data analysis. The goals are to provide students with the skills both to conduct and interpret inferential statistics in the context of psychological research. Main lectures cover the theory and background of the methods. Practical lectures focus on the use of SPSS for statistical analysis and provide guidance on exam questions. Acquiring skills in using SPSS is an important aspect of the course. The practical lectures will provide the general guidance for completion of the practical assessments.
Entry Requirements (not applicable to Visiting Students)
|| Students MUST have passed:
Psychology 2 (PSYL08002)
||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.
|High Demand Course?
Course Delivery Information
|Not being delivered|
On completion of this course, the student will be able to:
- 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 statistical power
Field, A. (2009). Discovering Statistics Using SPSS, 3rd Edition. London: Sage Publications, Ltd.
Wilcox, R.R. (2011). Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction. New York: Taylor & Francis.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155-159. (This paper will be available at the university main library and on Learn).
Howitt, D. & Cramer, D. (2008). Introduction to Statistics in Psychology *(4th Edition). Essex: Pearson Education Limited.
*Please note that we have specified the 4th Edition of this book and not the most recent 5th Edition because the 5th Edition contains a number of errors in the mathematical formulas. Please make sure that you refer to the 4th Edition when revising.
Gigerenzer, G., Gaissmaier, W., Kurz-Milcke, E., Schwartz, L. M., & Woloshin, S. (2007). Helping doctors and patients make sense of health statistics. Psychological Science in the Public Interest, 8, 53-96.
|Graduate Attributes and Skills
|Course organiser||Dr Thomas Booth
Tel: (0131 6)50 8405
|Course secretary||Ms Stephanie Fong
Tel: (0131 6)50 3961