There are alternatives to the use of Phi; two of them are:
A) Gamma and Lambda
B) Uncertainty Coefficient and Spearman's Rho
C) Chronbach's Alpha and McNemar's Q
D) none of the above
Correct Answer:
Verified
Q3: Under which of these circumstances would you
Q4: One of the reasons that Phi is
Q5: Phi is based on an inferential statistic;
Q6: If you explained 25% of the variance
Q7: If a two-variable table creates problems for
Q9: Correlation coefficients for Phi range between zero
Q10: You can't tell the direction of a
Q11: The nominal-level concept of association is that
A)as
Q12: Phi is sensitive to unequal marginal distributions.
Q13: A Phi coefficient of .6 means that
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