Statistical Modelling in R
Date:
24/02/2020 - 26/02/2020
Organised by:
University of Surrey
Presenter:
Professor Ian Brunton-smith
Level:
Intermediate (some prior knowledge)
Contact:
Day Courses Administrator
Tel +44(0)1483 689458
Email: daycourses@surrey.ac
Description:
We live in a world where large quantities of data are regularly collected about people, institutions, and social structures. This course will demonstrate how quantitative analysis techniques can be used to leverage this data and answer complex questions about the social world. Questions like ‘why some people are more at risk of crime than others?’, ‘what explains differences in life expectancy between countries?’, and ‘do gender inequalities persist in the workplace’.
Throughout the course, the emphasis is on the underlying principles and uses of statistical models and not on the mathematical and statistical theory. It therefore gives participants a solid empirical grounding to be able to critically evaluate the findings from a wide range of quantitative social science research. In the accompanying workshops you will get hands on experience of estimating a number of different statistical models in R, engaging with important issues including how to select an appropriate model, assessing the adequacy of a fitted model (in comparison to alternative models) and the statistical and substantive interpretation of the results
Cost:
Varies according to status:
• £595- Government/commercial sector
• £495 - Educational/charitable sector
• £395 - Students.
Website and registration:
https://www.surrey.ac.uk/events/20200224-statistical-modelling-r
Region:
South East
Keywords:
Quantitative Data Handling and Data Analysis, Statistical Modelling in R
Related publications and presentations:
Quantitative Data Handling and Data Analysis