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.
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.
Manfred te Grotenhuis (Radboud University Nijmegen) 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.
Laura Stoker discusses her experiences and views of what works well when teaching quantitative methods to undergraduate social science students. She covers preparation, theory and practical examples, methods, assessment and a wide range of teaching and learning resources. The talk was given as part of a workshop in June 2012 at the Department of Sociology, University of Oxford, for the QMteachers project www.sociology.ox.ac.uk/qmteachers. Laura Stoker is Associate Professor in the Department of Political Science at the University of California, Berkeley, where she lectures on quantitative methods and analysis. She writes on topics at the intersection of research design and statistics, including the optimal design of multi-level studies, problems of aggregation in cross-sectional and longitudinal research, and design-based approaches to estimating age, period, and cohort effects
Alan Agresti discusses his experiences and views of what works well when teaching quantitative methods to undergraduate social science students. He covers what an introductory quantitative methods course should achieve, general concepts versus mathematical statistics, active learning, use of technology and what to emphasise and de-emphasise. The talk was given as part of a workshop in June 2012 at the Department of Sociology, University of Oxford, for the QMteachers project www.sociology.ox.ac.uk/qmteachers. Alan Agresti is Distinguished Professor Emeritus at the University of Florida. He has written more than 100 articles and six books, including Categorical Data Analysis, which has received more than 12,000 citations in journal articles, and Statistical Methods for the Social Sciences (with Barbara Finlay), an introductory textbook for undergraduate or graduate students
Paul Kellstedt discusses his experiences and views of what works well when teaching quantitative methods to undergraduate political science students and other social scientists.
Bill Jacoby discusses his experiences and views of what works well when teaching quantitative methods to undergraduate political science students and other social scientists. He covers attitudes and objectives of students in an introductory level class, format of lectures, presentation techniques, preparation, evaluation and teaching tools and the nature of statistical analysis in social science. The talk was given as part of a workshop in September 2012 at the Department of Sociology, University of Oxford, for the QMteachers project www.sociology.ox.ac.uk/qmteachers. Bill Jacoby is a Professor in the Department of Political Science at Michigan State University and Director of the ICPSR (Michigan) Summer Program in Quantitative Methods of Social Research.