Cees van der Eijk gives a talk for the Sociology seminar series. Cees van der Eijk discusses teaching quantitative methods, focussing on the need in successful methods teaching to locate methods topics in (a) the context of substantive research questions and examples, but also (b) the context of a ‘repertoire’ of methodological tools and approaches, and (c) the context of alternative ways of structuring data.

Chris Zorn discusses teaching quantitative methods focussing on (a) integrating contemporary data science approaches into undergraduate instruction, and (b) using "big data" examples to generate and maintain students' interest.

John Fox discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially focusing on the choice of software with a demonstration of R and R Commander.

Robert Johns (Essex University) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, focusing on comparing the use of SPSS and Stata.

Wendy Olsen discusses her experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially those in Sociology and Social Policy.

Robert Andersen discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially those in Sociology and Social Policy.

Sean Carey (University of Mannheim, Germany) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students.

Andrew Gelman (Columbia University, NYC) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students.

Intergenerational relationships: Does grandparental childcare pay off?

Andy Field (University of Sussex) discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students, especially with mixed ability and low motivation students.