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## What is included?

These pages provide an overview of key quantitative skills, illustrated with examples drawn from a gender perspective.

## What prior knowledge is needed?

This material assumes that you have no prior knowledge of statistics. However, be prepared to do some simple calculations when required. As needed, you may also need to refresh your mathematical skills on topics such as logarithms and exponentials. Help will be provided throughout the material, or alternatively suitable links will be included.

## What software can I use?

The statistical software options open to you are either the Statistical Package for Social Sciences (IBM SPSS) or alternatively the open source software R. Using SPSS is relatively straightforward and is usually available to students through their university. If not available, its cost can be a barrier. A free alternative is R, although it requires a greater initial investment in terms of time to use it as it is not menu-driven. Fortunately, packages can be installed to provide a more user friendly environment.

## What topics are covered?

- Variables and research questions (updated 27/02/2016)
- Understanding the meaning of numbers
- Research design
- Obtaining data
- Summarising data
- Presenting data in tables and graphs
- An introduction to probability
- Inferences from samples
- Differences between means
- Cross-tabulations and tests of association
- Non-parametric statistics
- Correlation
- Regression
- Logistic regression
- Mediation
- Moderation
- Structural equation modelling
- Multi-level modelling