You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.
Learn About Analysing Age in Survey Data in R With Data From the European Social Survey (2016)
By: Abigail-Kate Reid & Nick Allum
Published: 2019 | Product: SAGE Research Methods Datasets Part 2
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.
Data Type:
Survey
Software Guide:
R
Survey research
