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Quantitative Methods For Public Policy (Module)

Module description

The module is an intensive introduction to principles and techniques of statistical analysis used in public policy and political science research. The topics to be covered in detail include descriptive statistics, exploratory data analysis, inferential statistics, analysis of associations using contingency tables and simple linear regression. Some exposure to more advanced statistical methods such as multiple linear regression and logistic regression will also be provided. The module will also enable students to understand and use appropriate survey methods for analysing quantitative data while presenting their results in research reports and papers.

The course assumes no prior knowledge of statistical methods, and practical training will be provided through hands-on workshop sessions where empirical and real survey data would be analysed using statistical package SPSS.

Staff information

Not applicable

Teaching pattern

Not applicable

Module assessment - more information

Not applicable

Key information

Module code 7SSPP015

Credit level 7

Assessment coursework

Credit value 20

Semester Semester 2 (spring)

Study abroad module No