Écoles, masters et doctorats / Schools, Masters and Doctorates / Enseignements / Teachings
meeting and further detailed at several points of the course. Feel free to ask for additional guidance on what to read and how to structure your papers, yet do not wait for the last minute to do so, and read extensively from the course documentation. The grading policy for the course is 25 points for each report and 50 points for the ﬁnal paper. Attendance to all sessions, which are all computerbased, is crucial to the course. Finally, students are asked to provide as much feedback on the course as they can. Course Description : This course is about the core notions of quantitative research for the social sciences, based on three fundamental blocks of knowledge : essential statistical concepts, survey data, and various forms of regression analysis. By design, this course will approach quantitative analysis through methods and examples taken from various branches of the social sciences, with some speciﬁc applications to international relations. We will focus on research design, as to make sure that we ask valid questions, based on sound hypotheses as well as reliable data, and draw correct inferences. Throughout the course, we will introduce and explain some essential statistical operations that can be used to that end. Finally, we will introduce statistical software and work through the procedures to produce statistical tests and visualizations of quantitative data. The emphasis of the course is set on conceptual understanding and statistical reasoning, and each session will apply statistical procedures to real data. Handbook chapters will be used to cover the statistical side of the course, while class sessions will focus on practical experience. No previous knowledge in any of these topics is required for taking the course, but some computer and Internet skills as well as a genuine interest in understanding why and how we use quantitative information to understand society will prove useful. Required reading : Agresti, A. and Finlay, M. 1997. Statistical Methods for the Social Sciences. 3rd ed. Prentice-Hall ; Briatte, F. and Petev, I. 2012. Stata Guide. Online at http ://f.briatte.org/ teaching/quanti/. ; Feinstein, C. H. and Thomas, M. 2002. Making History Count. Cambridge University Press.
STATISTICS AND DATA ANALYSIS FOR POLICYMAKERS
Semester : Autumn Number of hours : 24 Language of tuition : English
Teachers : Bruno CAUTRES (Researcher at CNRS and CEVIPOF, Sciences Po). Pedagogical Format : Seminar Course validation : The course is evaluated on the following basis : A mid term exam (30% of the grade) ; Two take-home assessment tasks : 2 assignments (2 x 10% = 20%) ; Final exam (50% of the grade). Students getting low grades in mid-term exam will be proposed remedial workshop or crash course. Remedial class can be organized before the ﬁnal exam also. Attendance to class is mandatory ; doing the weekly readings is a key condition for learning. Workload : Monitoring of the course and of the students' works : A short meeting between students delegate and instructor will be organized every two/three courses, to ensure the quality of the interaction between the course and the students. Work meetings can be organized with students having difﬁculties with quantitative methods. Instructor offers e-ofﬁce hours : every Monday, from 1 :30pm to 3pm, instructor will answer by email to any question asked by student and send during this e-ofﬁce hours session. Students will get immediate answers during this 90-minute electronic session. In case of need instructor can extend this electronic session by “Skype-statistics-clinic” sessions. Pedagogical Method : Students are not expected to buy these books, since there will be a reading pack with a choice of chapters and texts. In case students would like to buy the books, they can buy used versions of the previous editions (for instance Agresti and Finlay third edition or Gujarati, 4th edition) that are normally much cheaper. Every session will be based on a Powe