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Learn about analysing age in survey data in R with data from the British crime survey (2007-2008)

Author: Abigail-Kate Reid; Nick Allum
Publisher: London : SAGE Publications Ltd., 2019.
Edition/Format:   eBook : Document : English
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  Read more...
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Details

Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Abigail-Kate Reid; Nick Allum
ISBN: 9781526485748 1526485745
OCLC Number: 1089526403
Description: 1 online resource : illustrations
Responsibility: Abigail-Kate Reid, Nick Allum.

Abstract:

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.

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