Intermediate Quantitative Analysis
Key Facts
| Module Code |
POLI4130 |
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| Module Convenor(s) |
Scott Moser |
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| Teaching Pattern |
2-day Intensive Block
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| Semester Taught |
Autumn semester, if interested contact esrc-dtc@nottingham.ac.uk for enrolment information |
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| Method of Assessment |
Written assignment |
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| Pre Requisites |
Please check suitability of course with module convenor |
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| Module Administrator |
Rosemary McCabe |
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This is an intensive advanced DTP training module that provides students additional skills to analyse quantitative social science. We will discuss how to manage datasets, how to prepare data for analysis, how to analyse such data, and how to present the findings of the analysis. As part of data analysis element, the course will focus firstly on generalized linear models (e.g. multivariate linear regression, logistic , ordered logistic, multinomial logistic etc.). Such techniques and methods extend the linear model introduced in Foundations of Quantitative Research module (or equivalent). The emphasis throughout this module is on providing students with hands-on training in applying various quantitative research techniques on actual quantitative data. We will use modern and widely used statistical software.
This module aims to give students: (a) an understanding of the issues a researcher confronts when using non-linear models to analyse quantative data and the types of statistical analysis that can be usefully applied, using different datasets from the empirical social science literature; and (b) a familiarity with statistical software and data management. The course uses a range of the datasets from across the social sciences. This hand-on experience builds on and extends the Foundations of Quantitative Research Module.
Please note, this is an interdisciplinary module that is open to students from across the social sciences. If you have any doubts about whether the course is suitable for your needs or level of study, please contact a module convenor before registering.