Multiple Choice
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
Correct Answer:

Answered by ExamLex AI
Correct Answer:
Answered by ExamLex AI
Q18: A strong inverse relation means that high
Q19: A researcher computes a Pearson product moment
Q20: A chi-square test should be conducted when:<br>A)
Q21: Ordered data should be divided into a
Q22: The Pearson product moment correlation tests the
Q23: Jason Fleece has 50 mothers rate their
Q24: For a chi-square test with one degree
Q26: A researcher has two continuous variables (IV
Q27: In a correlation matrix:<br>A) A table of
Q28: When using a chi-square, there is always