For chi-square, a common effect size indicator of the strength of the relationship between the two variables is:
A) Phi
B) Relative risk
C) Risk difference
D) Odds ratio
E) All of the above
F) None of the above, chi-squares do not have effect size measures

Question

Quizplus · Accepted Answer

For chi-square, a common effect size indicator of the strength of the relationship between the two variables is:
a) Phi
The Phi coefficient is specifically used as a measure of effect size when you have a 2x2 contingency table in a chi-square test of independence. It provides a value between 0 and 1, where 0 indicates no association and 1 indicates a perfect association. For larger contingency tables, Cramer's V is often used as it generalizes the Phi coefficient to tables larger than 2x2.
The other options listed (Relative risk, Risk difference, and Odds ratio) are measures commonly used in the context of epidemiological studies to describe the relationship between exposure and outcomes, rather than measures of association in a chi-square test. However, the Odds ratio can sometimes be calculated from a 2x2 contingency table as well, but it is not typically referred to as an effect size measure in the context of chi-square tests.
Therefore, the correct answer is:
a) Phi

For Chi-Square, a Common Effect Size Indicator of the Strength