Dr Yazmin Morlet Corti STC S114

This course is available on the MPhil/PhD in Cities Programme, MPhil/PhD in Sociology, MSc in Economy and Society, MSc in Political Sociology and MSc in Sociology. This course is available with permission as an outside option to students on other programmes where regulations permit.

This course has a limited number of places (it is controlled access). Places are allocated based on a written statement, with priority given to students on the MSc in Economy and Society, MSc in Political Sociology, MSc in Sociology, MPhil/PhD in Cities Programme and MPhil/PhD in Sociology. This may mean that not all students who apply will be able to get a place on this course.

This course introduces students to a range of quantitative methodologies used in contemporary social research, the selection of appropriate quantitative methods to address research questions, and key strategies for the analysis of quantitative data. Exploring the design of quantitative research and the analysis of quantitative data will allow students to discuss problems of measurement and sampling, conceptualization, inference, and causality. The course also explores important debates and approaches in quantitative sociology, using a case study approach. For every method we cover, we will read a selection of articles taken from major journals in the discipline. By analyzing and criticizing the operationalization of quantitative methods in these articles, we will cover issues of research design and get a sense of what each method does (and does not do), and of the type of research questions to which it can be applied.

This course is delivered through a combination of lectures, online materials and workshops totalling a minimum of 20 hours in the MT.

Reading Weeks: Students on this course will have a reading week in MT Week 6, in line with departmental policy.

Students will write one formative memo based on course readings and class activities.

Abbott, A. (2004). “Ideas and Puzzles”, Chapter 7 in Methods of Discovery: Heuristics for Social Sciences. New York: Norton, pp. 211-248.

Fox, C. (2004). “The Changing Color of Welfare? How Whites’ Attitudes toward Latinos Influence their Support for Welfare”, American Journal of Sociology 110, 580-625.Legewie, J. (2013). Terrorist Events and Attitudes toward Immigrants: A Natural Experiment. American Journal of Sociology, 118(5), 1199-1245.

Piketty, T., & Saez, E. (2003). Income Inequality in the United States, 1913-1998. The Quarterly Journal of Economics, 118(1), 1-39.

Lim, H., & Duan, H. (2015). Should we blame the graduates for their unemployment? A happiness approach. Hitotsubashi Journal of Economics, 56(2), 243-258.

Salganik, Matthew J., Peter S. Dodds, and Duncan J. Watts. 2006. “Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market”, Science 311: 854–856.

Savage, M., Devine, F., Cunningham, N., Taylor, M., Li, Y., Hjellbrekke, J., . . . Miles, A.(2013). A New Model of Social Class? Findings from the BBC's Great British Class Survey Experiment. Sociology: The Journal of the British Sociological Association, 47(2), 219.

Memo (25%) in the MT.
Research proposal (75%) in the LT.

The first assessment is a 1500-word memo (25%) due in week 9 of Michaelmas Term. The second assessment is a 3500-word research proposal (75%) due in the first week of Lent Term. The proposal should outline your own research question utilizing one of the quantitative methods seen in class.

An electronic copy of the assessed memo to be uploaded to Moodle no later than 4.00pm on the Thursday of Michaelmas Term week 9.

An electronic copy of the research proposal to be uploaded to Moodle no later than 4.00pm on the first Monday of Lent Term.

Attendance at all classes and submission of all set coursework is required.