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A Step by Step Guide for SPSS and Exercise Studies

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6 Introduction<br />

Dialog box 3<br />

Dialog box 4<br />

<strong>for</strong> the missing values of different variables. For example, you cannot use 9 to<br />

indicate missing values of a variable that has a range of possible scores from 1 to<br />

100.<br />

The next two columns in Figure 6, Columns <strong>and</strong> Align, let you specify the<br />

width of a column <strong>and</strong> the alignment (left, right, orcenter) of the values in the<br />

column. The last column, Measure, is used to identify the level at which a<br />

variable is measured. There are three levels. The first, scale, represents numeric<br />

variables (see Type above) measured on an interval or ratio scale. An interval<br />

scale has equal intervals of measurement, but there is no absolute zero (e.g.,<br />

per<strong>for</strong>mance scores of divers or gymnasts). In contrast, a ratio scale has equal<br />

intervals as well as an absolute zero (e.g., measurements of time or height). The<br />

second level is ordinal, <strong>and</strong> refers to a ranking of variables, but with no<br />

indication of how much better one variable is compared to another (e.g., high,<br />

medium, <strong>and</strong> low dribbling skill). The third level is nominal, <strong>and</strong> describes<br />

participants in distinct groups (e.g., males <strong>and</strong> females). The ordinal <strong>and</strong><br />

nominal levels should preferably have a combination of letters <strong>and</strong> numbers<br />

(e.g., 1 ˆ males, 2 ˆ females; see Values above). For a detailed explanation of<br />

the different levels, see Vincent (1999).

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