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Correlation as a Measure of Association Summary

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Correlation as a measure of association summary

BSHS/435
January 24 2016

Correlation as a measure of association summary

Introduction

In this essay I will describe correlation is a measure of association as well as describe different methods of establishing a correlation between variables. In this essay I will also explain advantages and disadvantages of each method, were each must be applied, and provide particular circumstances and examples in which a researcher may want to establish correlation
Describe correlations as measured of association
"A correlation is a statistical to determine the tendency or pattern for two (or more) variables or two sets of data to very consistently" (Creswell, (2012). any relationships between variables can be positive, negative, or curvilinear. “Measures of association describe the nature of relationships between variables, particularly the strength of the relationship or how closely the variables are related. The strongest relationship is a perfect one, and which a given change is one variable is always associated with a particular change and the other bearable. Rarely, however, are perfect relationships found in human service research" (Monette, Sullivan & DeJong, (2011).
Describe different methods of establishing correlations between variables.
There are different ways of establishing a correlation between variables such as nominal data. "some data are dichotomous in inform- that is, the variables have only two values, such as yes/no or male/female. A useful measure of Association for two dichotomous variables in phi coefficient" (Monette, Sullivan & DeJong, (2011).
The value of the phi indicates the strength of the relationship between variables by yielding a value between them. Another method of establishing correlation between variables is ordinal data, " many commonly used measures of

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