Research Design & Statistics - PSY00019M

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  • Department: Psychology
  • Module co-ordinator: Dr. Karla Evans
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20

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

After completing this module students should be able to:

  • understand the basic statistical theory underlying statistical inference and statistical models
  • understand a range of research designs
  • carry out relevant statistical tests using SPSS
  • interpret empirical data

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

Assessment

Task Length % of module mark
Essay/coursework
Practical reports
N/A 10
Practical
Weekly Quiz
N/A 10
University - closed examination
Research Design & Statistics
2 hours 80

Special assessment rules

None

Reassessment

Task Length % of module mark
University - closed examination
Research Design & Statistics
2 hours 80

Module feedback

The marks on all assessed work will be provided on e-vision.

These marks will be accompanied by module feedback forms which will be circulated by e-mail.

Students will meet supervisors in wk 6 in AuT, SpT and wk 9 in SuT to discuss their marks.

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).



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.