Psychology Statistics and Practical - PSYC5000

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2024 to 2025
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/RStudio, an open source statistical package.


Contact hours

Private Study: 234
Contact Hours: 66
Total: 300


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

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 Online Test (15%)
• Autumn Statistics Online Test (15%)
• Spring Computing Online Test (15%)
• Spring Statistics Online Test (15%)

Students must pass at least one of the practical components to meet the learning objectives of the module.

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:
12.1 Demonstrate the ability to communicate statistical concepts
12.2 Demonstrate understanding of statistical scientific conventions
12.3 Show competence in using a statistical computing package (R/RStudio)
12.4 Understand the process of formulating hypotheses on the basis of previous research
12.5 Formulate designs appropriate to the questions being asked
12.6 As part of a group, plan and run appropriate psychological research
12.7 Acquire good listening skills; show an ability to work with others; respond to other people's viewpoints
12.8 Demonstrate the ability to communicate critically.

On successfully completing the module students will also be able to:
13.1 Develop and demonstrate intellectual skills (including critical reflection and evaluation, reading and writing skills, time management, self-reflection and clarity in thinking)
13.2 Develop and demonstrate transferable skills including numeracy, information technology, working with others, communication, problem solving and improving through learning.


  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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