What are the differences between Association and Correlation?

Differences between Association and Correlation, In this article, we are talking about major differences between association & correlation and measure of association of attributes like when, notations and terminology, order classes, different methods, etc…

When do you apply the measure of association?

Correlation is a suitable measure of association when both the variable belongs to a bivariate normal population.

But in the case of behavioral sciences the variables which are not quantitatively measurable but can be cross-classified with respect to two or more classes.

If an attribute has only two classes, it is said to be dichotomous, and if it has many classes, it is called manifold classification.

In case of notation and terminology, usually denoted A, B, C, etc… and the presence of one attribute and absence of another attribute denoted as Aa, Bb, Cc, etc…The total of all frequencies denoted as N.

What’s kind of association can occur?

There are three kinds of association occur between attributes namely

1) Positive Association

2) Negative Association

3) No Association

What are the different methods of measures of association?

There are mainly five methods of measures of association.

1) Proportion method

2) Method of Probability

3) Yule’s coefficient of association

4) Coefficient of colligation

5) Coefficient of contingency

 What is NULL Hypothesis

What is mean by the partial association?

The association between two attributes may sometimes occur due to the third attribute rather than the actual association between two attributes.

For example, the association between the prevalence of Tuberculosis and vaccination may be different from in posh colonies and slum areas.

What is mean by the coefficient of contingency?

Coefficient of contingency connected to the chi-square statistic, when the chi-square test confirms the association between attributes, the coefficient of contingency needed to calculate.

Its denoted as C and C lies between 0 to 1, a value close to 1 indicates a higher degree of association.

What are the major differences between the measure of association and correlation?

1) Both are relative measures.

2) Both ranges from -1 to +1

3) Measure of association is based on qualitative factors that are not quantitatively measurable.

4) Correlation is based on quantitative factors.

5) Measure of association is based merely on frequencies of various polytomies here in correlation actual paired measurements.

6) Correlation is a proportional increase or decrease in the two variables simultaneously

7) Association of attributes is measured in terms of total or partial association and correlation is measured in terms of simple, multiple, and partial correlation coefficient.

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