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Introduction to Quantitative Methods

Dates:
  • Tue 12 Nov 2019 11.00 - 13.00
  Add to Calendar 2019-11-12 11:00 2019-11-12 13:00 Europe/Paris Introduction to Quantitative Methods

This course is an introduction to quantitative methods in the social sciences and is obligatory to all first-year SPS students. The course covers measurement, hypothesis testing and statistical inference, linear regression, and regression for binary outcomes. The course consists of lectures and labs (either in STATA or R), for which the students are required to do the homework assigned each week. For each lecture, we assign readings that you are expected to do in advance. Those of you who have not taken courses in quantitative methods, are new to Stata, or need to brush up their skills in these, are strongly encouraged to take the Introduction to Data Analysis and Stata course in September. You will need the skills taught at that course to successfully follow Introduction to Quantitative Methods. For those of you who are already more advanced in quantitative research, we try to assign (voluntary) extra homework on issues that go deeper into each week’s topic. The software packages used in the labs are STATA and R. If you are familiar with one of them, it is a good idea to learn the other during the course. The September class provides and introduction to Stata; additionally, there will be an introduction to R during the first week of the course. Your homework needs to be uploaded on the course site before the lab. You can collaborate and learn from each others when doing the homework, but you still need to do your homework yourself; it is not acceptable to simply copy the homework from your mate.

Sala del Capitolo DD/MM/YYYY
  Sala del Capitolo

This course is an introduction to quantitative methods in the social sciences and is obligatory to all first-year SPS students. The course covers measurement, hypothesis testing and statistical inference, linear regression, and regression for binary outcomes. The course consists of lectures and labs (either in STATA or R), for which the students are required to do the homework assigned each week. For each lecture, we assign readings that you are expected to do in advance. Those of you who have not taken courses in quantitative methods, are new to Stata, or need to brush up their skills in these, are strongly encouraged to take the Introduction to Data Analysis and Stata course in September. You will need the skills taught at that course to successfully follow Introduction to Quantitative Methods. For those of you who are already more advanced in quantitative research, we try to assign (voluntary) extra homework on issues that go deeper into each week’s topic. The software packages used in the labs are STATA and R. If you are familiar with one of them, it is a good idea to learn the other during the course. The September class provides and introduction to Stata; additionally, there will be an introduction to R during the first week of the course. Your homework needs to be uploaded on the course site before the lab. You can collaborate and learn from each others when doing the homework, but you still need to do your homework yourself; it is not acceptable to simply copy the homework from your mate.


Location:
Sala del Capitolo

Affiliation:
Department of Political and Social Sciences

Type:
Seminar

Speaker:
Prof. Juho Härkönen
Prof. Arnout van de Rijt (European University Institute)

Contact:
Monika Rzemieniecka (EUI - Department of Political and Social Sciences) - Send a mail
 
 

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Page last updated on 18 August 2017