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XX50135: Quantitative methods 2

[Page last updated: 15 October 2020]

Follow this link for further information on academic years Academic Year: 2020/1
Further information on owning departmentsOwning Department/School: Faculty of Humanities & Social Sciences (units for MRes programmes)
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: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework (CW 100%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take XX50134
Aims: This is an intermediate/advanced course on statistical analysis for postgraduate students following on from Quantitative Methods 1. The aim of the course is to provide students with a critical understanding of the strengths and weaknesses of statistical analysis alongside a detailed knowledge of particular statistical techniques. By the end, the unit will equip students with the skills to contribute to research projects.
Learning Outcomes: Knowledge and understanding
* Understand the basic principles of statistical analysis Intellectual skills
* Appreciate the strengths and weakness of statistical inquiry
* Be able to use, model and interpret correlation, simple linear regression and multiple regression analyses
* Be able to use one or more of a range of advanced statistical techniques including: probit/logit models; longitudinal analysis; principal components analysis; factor analysis and multilevel models.
* Be able to use appropriate software to carry out statistical analysis Professional practical skills
* Acquire computing skills
Skills: As detailed above.
Content: The approach taken will be essentially practical and a critical appreciation of the analytical techniques mentioned above will be based around a number of realistic datasets.
Further information on programme availabilityProgramme availability:

XX50135 is Optional (DEU) on the following programmes:

Department of Education Department for Health Department of Politics, Languages and International Studies
  • THXX-AFM50 : MRes Politics & International Studies
  • THXX-AFM51 : MRes Politics & International Studies (Leading to PhD)
Department of Psychology Department of Social & Policy Sciences

XX50135 is Optional on the following programmes:

Department of Education Department of Politics, Languages and International Studies
  • THXX-AFM50 : MRes Politics & International Studies
  • THXX-AFM51 : MRes Politics & International Studies (Leading to PhD)
Department of Psychology Department of Social & Policy Sciences

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