Alan Agresti on teaching quantitative methods to social science students
Listen now
Description
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
More Episodes
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...
Published 06/04/15
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.
Published 06/04/15
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. Creative Commons Attribution-Non-Commercial-Share Alike 2.0 UK:...
Published 07/28/14