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Book Cover
E-book
Author Reid, Abigail-Kate, author

Title Learn about analysing age in survey data in R with data from the European Social Survey (2016) / Abigail-Kate Reid, Nick Allum
Published London : SAGE Publications Ltd., 2019
Online access available from:
Sage Research Methods Datasets    View Resource Record  

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Description 1 online resource : illustrations
Summary 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 European Social Survey 2016 (ESS 2016), and the example examines ways of exploring the relationship between age and UK respondent opinion about the current state of health services in the United Kingdom. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R
Notes Description based on XML content
Subject European Social Survey (Project)
SUBJECT European Social Survey (Project) fast (OCoLC)fst01781666
Subject Age groups
Cohort analysis
Medical care -- Great Britain -- Public opinion
R (Computer program language)
Regression analysis
Age groups.
Cohort analysis.
Medical care -- Public opinion.
R (Computer program language)
Regression analysis.
Great Britain.
Form Electronic book
Author Allum, Nick, author
ISBN 1526484374
9781526484376