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Introduction to Quantitative Methods

Dates:
  • Mon 13 Nov 2017 11.00 - 13.00
  Add to Calendar 2017-11-13 11:00 2017-11-13 13:00 Europe/Paris Introduction to Quantitative Methods

This seminar introduces the basic concepts of data analysis, increasingly used in the social sciences. The emphasis is on the practical application of quantitative reasoning, visualization, and data analysis. The goal is to provide students pragmatic tools for assessing statistical claims and conducting their own basic statistical analyses. Topics covered include basic descriptive measures, measures of association, and specially linear regression. A correct understanding of its proper functioning and limitations is an essential precondition for venturing into more advanced techniques. Depending on the rhythm of the course we will also include further extensions of regression analysis (such as binomial logit estimation or quantile regression).

You can only learn statistics by doing them. In recognition of this fact, the reading for this course will be minimal, and the written work will be extensive. The only way to succeed in this course is to practice; the assignments give you the opportunity to do this.
Assignments are based on real-world data and problems in social sciences, including political science and sociology.

An important part of working with quantitative research methods involves the use of statistical software. Class examples will be done using STATA (www.stata.com)

Seminar Room 2, Badia Fiesolana DD/MM/YYYY
  Seminar Room 2, Badia Fiesolana

This seminar introduces the basic concepts of data analysis, increasingly used in the social sciences. The emphasis is on the practical application of quantitative reasoning, visualization, and data analysis. The goal is to provide students pragmatic tools for assessing statistical claims and conducting their own basic statistical analyses. Topics covered include basic descriptive measures, measures of association, and specially linear regression. A correct understanding of its proper functioning and limitations is an essential precondition for venturing into more advanced techniques. Depending on the rhythm of the course we will also include further extensions of regression analysis (such as binomial logit estimation or quantile regression).

You can only learn statistics by doing them. In recognition of this fact, the reading for this course will be minimal, and the written work will be extensive. The only way to succeed in this course is to practice; the assignments give you the opportunity to do this.
Assignments are based on real-world data and problems in social sciences, including political science and sociology.

An important part of working with quantitative research methods involves the use of statistical software. Class examples will be done using STATA (www.stata.com)


Location:
Seminar Room 2, Badia Fiesolana

Affiliation:
Department of Political and Social Sciences

Type:
Seminar

Organiser:
Marta Fraile Maldonado (EUI - SPS department, Academic Service)

Contact:
Jennifer Rose Dari (EUI - Department of Political and Social Sciences) - Send a mail
 
 

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