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MN50555: Quantitative methods for management 2

Follow this link for further information on academic years Academic Year: 2018/9
Further information on owning departmentsOwning Department/School: School of Management
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 MN50554
Further information on descriptions Description: Aims:
This unit covers statistical analysis for postgraduate students following on from Quantitative Methods for Management 1. The aim of theunit 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
* Interpret the results from chi square tests, t-tests and ANOVAs
* 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: regression analyses, time series, path analysis, cluster analysis, factor analysis
* Be able to use SPSS to carry out statistical analysis
Professional practical skills:
* Acquire computing skills.

Skills:

* Appropriate use of quantitative research methods and analysis techniques (T, F, A)
* Appreciate the strengths and weaknesses of different quantitative methods (T, F, A)
* Use of SPSS in conducting t-tests, ANOVAs and Regressions
* Be able to define a researchable problem and formulate research questions and hypotheses (T, F, A)
* Be able to design a short questionnaire (T, F)
* Understand the role of sampling and the concepts of generalisability, validity and reliability (T, F, A)
* Be able to conduct basic tests for scale validity and reliability in SPSS (T, F, A)
* Understand the next stepd in validity and reliability testing (T, F, A)
* Select an appropriate statistical test (T, F, A)
Professional practice skills:
* Understand ethical issues in relation to quantitative research (T, F, A)
* Acquire computing skills (T, F, A)

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:

MN50555 is Optional on the following programmes:

School of Management

Notes: