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KMPA 3020 - Applied Data Analysis for Public Policy

Type d'enseignement : Seminar

Semester : Autumn 2018-2019

Number of hours : 24

Language of tuition : English

Pre-requisite

Students are expected to have some generic background in social science research methods. Those students who do not have this background are advised to undertake the following remedial reading before the start of the course: Gary King, Robert O. Keohane, Sidney Verba (1994), Designing Social Inquiry. Scientific Inference in Qualitative Research. Princeton, NJ: Princeton University Press.

Course Description

This course will offer students the methodological tools and skills allowing them to undertake original research with primary and secondary data. Part 1 will introduce key topics relating to the link between research design, data collection, analysis and inferences, and on the various types of quantitative and qualitative techniques that can be deployed (week 1). It will also introduce key elements of univariate (week 2) and bivariate (week 3) quantitative analysis using as an illustration the data collected through the European Social Survey. Part 2 will progress further by providing students with the skills required to undertake quantitative analysis with secondary data. Students will gain a generic overview of the various techniques available for multivariate analysis (week 4), and will learn to perform linear regression and logistic regression (weeks 5 to 7) while getting acquainted with multiple data sources. Part 3 will focus on the hands-on practical learning of the production, processing and analysis of survey data through having students undertake their own original survey project (weeks 8 to 12).

Teachers

  • COGNIE, Florentin C.
  • MORALES, Laura (Professeur des Universités)

Pedagogical format

Weekly integrated lectures and computer lab sessions with the main instructor (Morales) and the teaching assistant.

Course validation

100% assessed coursework (2 short written assignments of up to 1,500 words each to be handed in on weeks 4 and 7, and a final dossier on the survey project to be handed in the first week of the exams period).

Workload

Students will be provided with a list of preparatory readings for each session, which will improve their understanding of the topics presented. For the sessions in part 3 they will also need to have done preparatory work on their survey project.

Required reading

  • Sandra Halperin & Oliver Heath, Political Research Methods and Practical Skills, 2nd edition, Oxford: Oxford University Press, 2017
  • Weekly readings will be indicated in the detailed syllabus.