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32 Chapter 3<br />

Categorical Principal Components Discretization<br />

The Discretization dialog box allows you to select a method of recoding your variables.<br />

Fractional-value variables are grouped into seven categories (or into the number of distinct<br />

values of the variable if this number is less than seven) with an approximately normal<br />

distribution, unless specified otherwise. String variables are always converted into<br />

positive integers by assigning category indicators according to ascending alphanumeric<br />

order. Discretization for string variables applies to these integers. Other variables are left<br />

alone by default. The discretized variables are then used in the analysis.<br />

Figure 3.4 Categorical Principal Components Discretization dialog box<br />

Method. Choose between grouping, ranking, and multiplying.<br />

Grouping. Recode into a specified number of categories or recode by interval.<br />

Ranking. The variable is discretized by ranking the cases.<br />

Multiplying. The current values of the variable are standardized, multiplied by 10,<br />

rounded, and have a constant added such that the lowest discretized value is 1.<br />

Grouping. The following options are available when discretizing variables by grouping:<br />

Number of categories. Specify a number of categories and whether the values of the<br />

variable should follow an approximately normal or uniform distribution across those<br />

categories.<br />

Equal intervals. Variables are recoded into categories defined by these equally sized<br />

intervals. You must specify the length of the intervals.

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