The aim of the course is to provide students with the ability to understand statistical results presented in the current literature and to have a basic knowledge of how to apply some of the widely used quantitative methods in economic historical research. Overall, the topics covered in the course comprise of:
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General introduction to Quantitative Methods in Statistics
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Data management
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Basic rules on estimation and testing
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Regression analysis (univariate and multivariate regression; continuous and categorical covariates)
The students will also be trained in the disciplined use of the command-line interface to SPSS.
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This is an introductory course on quantitative statistics specifically designed for master students of the Posthumus Research Master.
Focusing on aspects of both economic history and social sciences this course will give the students an introduction to using statistics in their own research. The course starts with a general introduction to the basic concepts of quantitative statistics, getting to know historical datasets and how to use historical data to answer research questions. This also includes an introduction to a widely used statistic software (SPSS) to conduct quantitative analyses. The course takes a hands-on-approach: There will be a lecture every week followed by lab hours in which the students can practice what they learned in the lecture, using SPSS. Students will work on (mainly practical) assignments – both assisted during the lab hours and at home.
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