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Basic Analysis and Graphing - SAS

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Chapter 6 Performing Contingency <strong>Analysis</strong> 199<br />

Measures of Association<br />

Table 6.11 Description of the Measures of Association Report (Continued)<br />

Kendall’s Tau-b Similar to Gamma <strong>and</strong> uses a correction for ties. Takes values in the range -1<br />

to 1.<br />

Stuart’s Tau-c<br />

Somer’s D<br />

Similar to Gamma <strong>and</strong> uses an adjustment for table size <strong>and</strong> a correction for<br />

ties. Takes values in the range -1 to 1.<br />

An asymmetric modification of Tau-b.<br />

• The C|R denotes that the row variable X is regarded as an independent<br />

variable <strong>and</strong> the column variable Y is regarded as dependent.<br />

• Similarly, the R|C denotes that the column variable Y is regarded as an<br />

independent variable <strong>and</strong> the row variable X is dependent.<br />

Somer’s D differs from Tau-b in that it uses a correction for ties only when<br />

the pair is tied on the independent variable. It takes values in the range -1 to<br />

1.<br />

Lambda Asymmetric • For C|R, is interpreted as the probable improvement in predicting the<br />

column variable Y given knowledge of the row variable X.<br />

• For R|C, is interpreted as the probable improvement in predicting the<br />

row variable X given knowledge about the column variable Y.<br />

Takes values in the range 0 to 1.<br />

Lambda Symmetric<br />

Loosely interpreted as the average of the two Lambda Asymmetric measures.<br />

Takes values in the range 0 to 1.<br />

Uncertainty Coef • For C|R, is the proportion of uncertainty in the column variable Y that is<br />

explained by the row variable X.<br />

• For R|C, is interpreted as the proportion of uncertainty in the row<br />

variable X that is explained by the column variable Y.<br />

Takes values in the range 0 to 1.<br />

Uncertainty Coef<br />

Symmetric<br />

Symmetric version of the two Uncertainty Coef measures. Takes values in<br />

the range 0 to 1.<br />

Each statistic appears with its st<strong>and</strong>ard error <strong>and</strong> confidence interval. Note the following:<br />

• Gamma, Kendall’s Tau-b, Stuart’s Tau-c, <strong>and</strong> Somer’s D are measures of ordinal association that consider<br />

whether the variable Y tends to increase as X increases. They classify pairs of observations as concordant<br />

or discordant. A pair is concordant if an observation with a larger value of X also has a larger value of Y.<br />

A pair is discordant if an observation with a larger value of X has a smaller value of Y. These measures are<br />

appropriate only when both variables are ordinal.<br />

• The Lambda <strong>and</strong> Uncertainty measures are appropriate for ordinal <strong>and</strong> nominal variables.

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