Learn about rescaling and transforming variables in survey data in R with data from the General social survey (2004-2016) /
It is sometimes the case that the variables we want to use in our statistical analyses do not fulfil the assumptions of the method we wish to use. In other cases, we might want to transform a variable so that its distribution can meaningfully be compared with the distribution of another variable. Th...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications, Ltd.,
2019.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | It is sometimes the case that the variables we want to use in our statistical analyses do not fulfil the assumptions of the method we wish to use. In other cases, we might want to transform a variable so that its distribution can meaningfully be compared with the distribution of another variable. This process of transformation is also known as standardisation. In this guide, we introduce some of the transformations and methods for standardisation that are commonly in use and when to use them. We demonstrate these using data from the General Social Survey 2004-2016. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for R. |
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| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781526489340 1526489341 |