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PS20093: Quantitative methods

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Psychology
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Intermediate (FHEQ level 5)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework 1 (CW 20%)
  • Coursework 2 (CW 80%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
To provide students with an understanding and competence in qualitative and quantitative methods and statistics, and the skills to design, conduct and analyse studies using appropriate methodology.

Learning Outcomes:

* Be able to explain, design and critically evaluate quantitative methods in psychological research
* Be able to use more advanced statistics and understand their interpretation
* Be familiar with key methods of quantitative data analysis and know how to apply them.


* Understand the scientific underpinnings of psychology as a discipline, its historical origins, development and limitations. (T/F)
* Can demonstrate a systematic knowledge of a range of research paradigms, research methods and measurement techniques, including statistical analysis, and be aware of their limitations. (T/F A)
* Can detect meaningful patterns in behaviour and experience and evaluate their significance. (T/F/ A)
* Can pose, operationalise and critically evaluate research questions. (T/F A)
* Can demonstrate substantial competence in research skills through practical activities. (T/F A)
* Can comprehend and use numerical, statistical and other forms of data, particularly in the context of presenting and analysing complex data sets. (T/F A)
* Is computer literate and is confident in using word processing, database and statistical software. (T/F A)
* Can solve problems by clarifying questions, considering alternative solutions and evaluating outcomes. (T/F A)

They will acquire appropriate skills in the use and interpretation of advanced statistics such as factor analysis, cluster analysis, advanced regression techniques and MANOVA.
Further information on programme availabilityProgramme availability:

PS20093 is Compulsory on the following programmes:

Department of Psychology