Correlational Statistics for Characterising Relationships

Ray W. Cooksey
Additional contact information
Ray W. Cooksey: University of New England, UNE Business School

Chapter Chapter 6 in Illustrating Statistical Procedures: Finding Meaning in Quantitative Data, 2020, pp 141-239 from Springer

Abstract: Abstract This chapter discusses and illustrates correlational statistics for characterising relationships. The purposes of the procedures and fundamental concepts reviewed in this chapter are quite varied ranging from providing a simple summary of the relationship between two variables to facilitating an understanding of complex relationships among many variables. A statistical relationship is a pattern or an association which exists between two or more variables. We employ the statistical concept of correlation to summarise, in a single number, the nature of this patterned relationship or association between two variables. No matter how many variables are involved or how sophisticated the analysis is, all correlational procedures depend upon measuring and then analysing the relationships between pairs of variables. In this chapter, you will explore various procedures (e.g. contingency tables, correlation; partial and semi-partial correlation, simple and multiple regression, exploratory factor analysis, cluster analysis, multidimensional scaling and canonical correlation) that can be employed to answer simple or complex relational or associational questions about data like those posed above. In addition, you will find a more detailed discussion of the fundamental concepts of correlation and partial and semi-partial correlation which will provide necessary foundation material for understanding the discussions to come later in the chapter.

Keywords: Correlational statistics; Correlation; Linear regression; Multiple regression; Exploratory factor analysis; Cluster analysis; Multidimensional scaling; Correspondence analysis; Canonical correlation; Set correlation (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-15-2537-7_6

Ordering information: This item can be ordered from
http://www.springer.com/9789811525377

DOI: 10.1007/978-981-15-2537-7_6

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().