Basic Analysis and Graphing - SAS

188 Performing Contingency Analysis Chapter 6
Contingency Platform Options
Tests
Set α level
Analysis of Means for
Proportions
Correspondence Analysis
Cochran Mantel Haenszel
Agreement Statistic
Relative Risk
Odds Ratio
Two Sample Test for Proportions
Measures of Association
Cochran Armitage Trend Test
Analogous to the Analysis of Variance table for continuous data.
The tests show that the response level rates are the same across X
levels. See “Tests” on page 193.
Changes the alpha level used in confidence intervals. Select one
of the common values (0.10, 0.05, 0.01) or select a specific value
using the Other option.
Only appears if the response has exactly two levels. Compares
response proportions for the X levels to the overall response
proportion. See “Analysis of Means for Proportions” on page 194.
Shows which rows or columns of a frequency table have similar
patterns of counts. In the correspondence analysis plot, there is a
point for each row and for each column of the contingency table.
See “Correspondence Analysis” on page 195.
Tests if there is a relationship between two categorical variables
after blocking across a third classification. See
“Cochran-Mantel-Haenszel Test” on page 196.
Only appears when both the X and Y variables have the same
levels. Displays the Kappa statistic (Agresti 1990), its standard
error, confidence interval, hypothesis test, and Bowker’s test of
symmetry, also know as McNemar's test. See “Agreement
Statistic” on page 197.
Calculates risk ratios. Appears only when both the X and Y
variables have only two levels. See “Relative Risk” on page 197.
Appears only when there are exactly two levels for each variable.
Produces a report of the odds ratio. For more information, see
“Statistical Details for the Odds Ratio Option” on page 213.
The report also gives a confidence interval for this ratio. You can
change the alpha level using the Set α Level option.
Performs a two-sample test for proportions. This test compares
the proportions of the Y variable between the two levels of the X
variable. Appears only when both the X and Y variables have only
two levels. See “Two Sample Test for Proportions” on page 198.
Describes the association between the variables in the
contingency table. See “Measures of Association” on page 198.
Tests for trends in binomial proportions across levels of a single
variable. This test is appropriate only when one variable has two
levels and the other variable is ordinal. See “Cochran Armitage
Trend Test” on page 200.