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Analysis and Design of Experiments
Course leader:
Eddie
Shoesmith
eddie.shoesmith@buckingham.ac.uk
One term (15 units)
This is a second-year course in which students learn about some important statistical tools for the analysis of experimental data in psychology, about the effective application of these tools using the SPSS statistical package, and about some of the links between experimental design and statistical analysis.
The course covers the basics of the analysis of variance (ANOVA) models, the practicalities of SPSS analyses, and interpretation of analysis results for the following experimental designs:
- Between-subjects designs with up to three factors.
- Repeated-measures designs with up to three factors.
- Mixed designs with up to three factors.
- Designs incorporating a single covariate.
- Assumptions underlying between-subjects and repeated-measures ANOVAs.
On completion of this course, students should be able to recognise correctly, from written descriptions, experimental designs involving combinations of up to three between- or within-subjects factors, be able to construct an outline ANOVA table for these designs, be able to conduct analyses for designs of these types using SPSS, and be able to interpret the results from these analyses.
The course is assessed by six short multiple-choice tests (10%), two timed assignments (20%) and a combined written examination and practical computer examination (70%).
Main texts:
- Howitt, D. & D. Cramer, Introduction to statistics in psychology (4th ed., Harlow: FT Prentice Hall). ISBN: 978-0-13-205161-3.
- Howitt, D. & D. Cramer, Introduction to SPSS in psychology (4th ed., Harlow: Pearson Prentice Hall). ISBN: 978-0-13-205164-4.