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 Academic Year: | 2017/8 |
| Owning Department/School: | School of Management |
| Credits: | 6 [equivalent to 12 CATS credits] |
| Notional Study Hours: | 120 |
| Level: | Masters UG & PG (FHEQ level 7) |
| Period: |
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| Assessment Summary: | CW 100% |
| Assessment Detail: |
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| Supplementary Assessment: |
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| Requisites: | Before taking this module you must take MN50554 |
| 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. |
| Programme availability: |
MN50555 is Optional on the following programmes:School of Management
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Notes:
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