Teaching Quantitative Methods: Getting The Basics Right - Tapa blanda

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Teaching Interests: Social Research Methods; Social Inequalities, Divisions and Mobilities Research Interests – current: Social Research Methods; Social Mobility; Social Processes in (small rural) Communities; ′Family History′ Research Interests – recent: Class Identities; Literacy; Gender; Ethnicity; Poverty.

Malcolm Williams is Professor and Director of the School of Social Sciences at Cardiff University. Prior to joining Cardiff in 2010, he was Professor of Social Research Methodology and Head of the School of Psychosocial Sciences at the University of Plymouth where he taught for 16 years.

Malcolm has designed and taught modules in the philosophy of social research for 18 years at both undergraduate and postgraduate level. In these he has introduced a number of innovative pedagogic techniques, such as Problem Based Learning and ‘Concept Speed Dating’, in which students take a key idea and move from table to table attempting to build conceptual links between ideas.

Additionally he has taught many modules and short courses in social theory, research design, questionnaire design, scaling, sampling, scientific method and history of science.

Williams has an extensive publishing record in philosophy of social research, including: Introduction to Philosophy of Social Research (with Tim May, Routledge, 1996), Knowing the Social World (with Tim May, OUP, 1998), Science and Social Science (Routledge, 2000), Making Sense of Social Research (SAGE, 2003), Philosophical Foundations of Social Research (SAGE, 2006), Teaching Quantitative Methods (with Geoff Payne, SAGE, 2011) Objectivity and Subjectivity in Social Research (with Gayle Letherby and John Scott, SAGE, 2012) and The SAGE Handbook of Innovations in Social Research (with W Paul Voght, SAGE, 2014).

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A clear, innovative text from world experts, this clearly lays out the problems, strategies and resources associated with the teaching of quantitative methods in modern universities. It is a pragmatic approach which will be of interest to any academic teaching 'numbers' to their students.