A researcher wants to measure the relationship between age a

A researcher wants to measure the relationship between age and test taking enjoyment (high, extremely high, insanely high, etc.). The most appropriate statistic would be:

a. chi square

b. sign test

c. Pearson product-moment correlation

d. Spearman rank-order correlation

Solution

Solution(D)

Spearman’s Rank correlation coefficient? Spearman’s Rank correlation coefficient is used to identify and test the strength of a relationship between two sets of data. It is often used as a statistical method to aid with either proving or disproving a hypothesis e.g. the depth of a river does not progressively increase the further from the river bank.

We cannot go with Pearson product-moment correlation because:

Potential problems with Pearson correlation.

The PPMC is not able to tell the difference between dependent and independent variables. For example, if you are trying to find the correlation between a high calorie diet and diabetes, you might find a high correlation of .8. However, you could also work out the correlation coefficient formula with the variables switched around. In other words, you could say that diabetes causes a high calorie diet. That obviously makes no sense. Therefore, as a researcher you have to be aware of the data you are plugging in. In addition, the PPMC will not give you any information about the slope of the line; It only tells you whether there is a relationship

So answer is(D)