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PS20093: Quantitative methods

Follow this link for further information on academic years Academic Year: 2018/9
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.
Before taking this module you must take PS10087 AND take PS10088
Further information on programme availabilityProgramme availability:

PS20093 is Compulsory on the following programmes:

Department of Psychology