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Introduction to Quantitative Methods

Dates:
  • Mon 05 Oct 2020 11.00 - 12.00
  • Mon 12 Oct 2020 11.00 - 13.00
  • Mon 19 Oct 2020 11.00 - 13.00
  • Mon 26 Oct 2020 11.00 - 13.00
  • Mon 02 Nov 2020 11.00 - 13.00
  • Mon 09 Nov 2020 11.00 - 13.00
  • Mon 16 Nov 2020 11.00 - 13.00
  • Mon 23 Nov 2020 11.00 - 13.00
  • Mon 30 Nov 2020 11.00 - 13.00
  • Mon 14 Dec 2020 11.00 - 13.00
  Add to Calendar 2020-10-05 11:00 2020-12-14 13:00 Europe/Paris Introduction to Quantitative Methods

This course is an introduction to quantitative methods in the social sciences. It is mandatory and can be taken either during the first or the second year of the doctoral programme. The course will be taught online with the possibility of following the teaching in a "Zoom room" on campus (location TBA).

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 and R, or need to brush up their skills in these, should definitely take the Introduction to Data Analysis 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 assign (voluntary) extra homework on issues that go deeper into each week’s topic. Those who have strong background skills in quantitative analysis already can also substitute this course by taking (and passing) "Introduction to Econometrics and Regression" offered by the Economics Department.

via Zoom - DD/MM/YYYY
  via Zoom -

This course is an introduction to quantitative methods in the social sciences. It is mandatory and can be taken either during the first or the second year of the doctoral programme. The course will be taught online with the possibility of following the teaching in a "Zoom room" on campus (location TBA).

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 and R, or need to brush up their skills in these, should definitely take the Introduction to Data Analysis 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 assign (voluntary) extra homework on issues that go deeper into each week’s topic. Those who have strong background skills in quantitative analysis already can also substitute this course by taking (and passing) "Introduction to Econometrics and Regression" offered by the Economics Department.


Location:
via Zoom -

Affiliation:
Department of Political and Social Sciences

Type:
Seminar

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

Organiser:
Prof. Arnout van de Rijt (EUI - Department of Political and Social Sciences)
Prof. Juho Härkönen

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Page last updated on 18 August 2017