Psychology Statistics and Practical - PSYC5000

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2023 to 2024
Combined Autumn and Spring Terms 6 30 (15) Dinkar Sharma checkmark-circle


The broad aims of the module are: (a) to provide a continued training in methodological skills appropriate to psychological investigation; (b) to provide advanced training in statistical techniques of the analysis of psychological data; (c) to provide training in computing skills for conducting analysis of psychological data; and (d) to provide direct experience of some of the phenomena encountered in other Stage 2/3 psychology modules.

The practical component of the module consists of a structured course of laboratory classes and non-laboratory sessions during which students work in small supervised groups designing and carrying out four research projects related to themes encountered in the department's other Stage 2/3 modules. A course of statistics lectures and computing workshops is closely linked to the practical classes. Computer–based statistical analysis is illustrated using R, a general-purpose statistical package.


Contact hours

Private Study: 234
Contact Hours: 66
Total: 300


Compulsory to the following courses:
• BSc in Psychology with a Placement Year
• BSc in Psychology with Clinical Psychology and a Placement Year
• BSc in Psychology
• BSc in Psychology with Clinical Psychology
• BSc in Psychology with Forensic Psychology
• BSc in Psychology with Business Psychology
• BSc in Psychology with a Year Abroad
• BSc in Social Psychology
• BSc in Psychology and Social Anthropology

Not available as an elective module. Not available to short-term credit students.

Method of assessment

Main assessment methods
• Practical Report (3,000 words) (20%)
• Practical report (2,000 words) (20%)
• Autumn Computing In Class Test (15%)
• Autumn Statistics In Class Test (15%)
• Spring Computing In Class Test (15%)
• Spring Statistics In Class Test (15%)

Reassessment methods
This module is reassessed by 100% examination.

Indicative reading

The University is committed to ensuring that core reading materials are in accessible electronic format in line with the Kent Inclusive Practices.

The most up to date reading list for each module can be found on the university's reading list pages.

See the library reading list for this module (Canterbury)

Learning outcomes

On successfully completing the module students will be able to:

1 Demonstrate the ability to communicate statistical concepts
2 Demonstrate understanding of statistical scientific conventions
3 Show competence in using a statistical computing package (R)
4 Understand the process of formulating hypotheses on the basis of previous research
5 Formulate designs appropriate to the questions being asked
6 As part of a group, plan and run appropriate psychological research
7 Acquire good listening skills; show an ability to work with others; respond to other people's viewpoints
8 Demonstrate the ability to communicate critically.


  1. Credit level 6. Higher level module usually taken in Stage 3 of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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