Studying at York
Research Design & Statistics - PSY00019M
Module will run
| Occurrence | Teaching period |
|---|---|
| A | Semester 1 2024-25 |
Module aims
The course as a whole is an advanced 'refresher' course. It assumes a basic knowledge of statistics and experimental design, but starts from first principles. In this sense no common background is assumed. By the end of the course, you will be proficient in the more common univariate statistical techniques used in experimental psychology, and for those techniques that we are unable to cover in detail, you will develop the confidence to find out about them through reading those parts of the Andy Field's book "Discovering Statistics Using SPSS" which won't be covered on the course
Module learning outcomes
- Explain the basic statistical theory underlying statistical inference and statistical models
- Explain a range of research designs
- Carry out relevant statistical tests using SPSS
- Interpret empirical data
- Knowledge of the role of Open Science in research.
Module content
- Introduction to Statistical models
- Confidence Intervals and Logic Of Hypothesis Testing
- Bivariate Correlation and Regression
- Multiple Regression
- Comparing Two or Several Means
- Factorial Independent ANOVA & ANCOVA
- Within-Subject/Repeated Measures ANOVA and Mixed Model ANOVA
- Categorical Data and Nonparametric Statistics
Indicative assessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 90 |
| Coursework - extensions not feasible/practicable | 10 |
Special assessment rules
None
Indicative reassessment
| Task | % of module mark |
|---|---|
| Closed/in-person Exam (Centrally scheduled) | 100 |
Module feedback
The marks on all assessed work will be provided on e-vision.
Indicative reading
- A. Field (2009): Discovering Statistics Using SPSS. 3rd Edition. Sage. (4th Edition came out in 2013 and if you have a choice, get the 4th Edition. But there's not a huge difference).