Abstract
As we have already seen, some data such as that gathered in market research, social and economic surveys etc., are not numerical e.g. respondents’ sex, their levels of education or voting intentions. These data are called nominal as discussed in Sect. 1.2.1. In data files, one way such items are entered is to assign numbers or symbols to the various responses. This allocation of labels is known as coding the data and is discussed in the first section of this chapter.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Aljandali, A. (2016). Coding, Missing Values, Conditional and Arithmetic Operations. In: Quantitative Analysis and IBM® SPSS® Statistics. Statistics and Econometrics for Finance. Springer, Cham. https://doi.org/10.1007/978-3-319-45528-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-319-45528-0_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-45527-3
Online ISBN: 978-3-319-45528-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)