Question 1

McNemar's test can be used to determine whether the row and column marginal frequencies are equal.

Accepted Answer

McNemar's test is used to compare the paired binary data, where the same subjects are observed twice, and the test determines whether the row and column marginal frequencies are equal.

Question 2

If this assumption is broken,then the result is what?

Accepted Answer

Breaking an assumption in statistical tests often leads to a reduction in test power, meaning the test is less likely to detect an effect when there is one.

Question 3

In loglinear analysis with more than two categorical variables,it is possible to have up to 20% of cells with expected frequencies of less than 5,but all cells must have expected frequencies greater than 1.Is this assumption true or false?

Accepted Answer

In loglinear analysis, it is generally acceptable to have up to 20% of cells with expected frequencies less than 5, but all cells should have expected frequencies greater than 1 to ensure the validity of the chi-square approximation.

Question 4

Loglinear analysis is non-hierarchical.

Accepted Answer

Loglinear analysis is hierarchical, meaning that if a model includes an interaction term, it must also include all lower-order terms that are part of that interaction.

Quiz 19: Categorical Data

McNemar's test can be used to determine whether the row and column marginal frequencies are equal.

If this assumption is broken,then the result is what?

In loglinear analysis with more than two categorical variables,it is possible to have up to 20% of cells with expected frequencies of less than 5,but all cells must have expected frequencies greater than 1.Is this assumption true or false?

Loglinear analysis is non-hierarchical.