Nick Allum

Abigail-Kate Reid

This dataset is designed for teaching basic approaches for including age as a continuous or categorical variable when analysing survey data. The dataset focuses on age as a continuous or categorical predictor in an Ordinary Least Squares (OLS) regression, showing how to categorise a continuous variable for analysis and exploring non-linear relationships between predictor and outcome variables. The dataset is a subset of data derived from the British Crime Survey 2007 (BCS 2007), and the example examines ways of exploring the relationship between age and a measure of feelings of safety in public spaces. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R.

Learn about Analysing Age in Survey Data in R with Data from the British Crime Survey (2007-2008)

Rajesh Shukla

Martin W. Bauer

This book offers the first comparative account of the changes and stabilities of public perceptions of science within the US, France, China, Japan, and across Europe over the past few decades. The contributors address the influence of cultural factors; the question of science and religion and its influence on particular developments (e.g. stem cell research); and the demarcation of science from non-science as well as issues including the ‘incommensurability’ versus ‘cognitive polyphasia’ and the cognitive (in)tolerance of different systems of knowledge.

Nick Allum

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