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A Step by Step Guide for SPSS and Exercise Studies

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66 Statistical tests<br />

How to carry out the test<br />

In the example shown in Dialog box 63, move the dependent variable that will<br />

serve as a measure of comparison (i.e., velocity) into the Test Variable(s) box. If<br />

you want to per<strong>for</strong>m more than one t test using different dependent variables,<br />

move all the dependent variables into this box.<br />

The grouping (independent) variable is club. You should already have in the<br />

data file a variable called club which has assigned different codes to different<br />

clubs (e.g., code 1 to participants from club A <strong>and</strong> code 2 to participants from<br />

club B). Variable coding is essential; otherwise, you will not be able to carry out<br />

the independent samples t test (Figure 21).<br />

If the grouping variable is continuous (e.g., strength, time), you need to<br />

dichotomise it <strong>by</strong> identifying a Cut point. This cut-off point could be the median<br />

value of the variable that will split the scores into 2 groups (see Compute in the<br />

Trans<strong>for</strong>m menu to compute a new categorical variable that will contain the<br />

codes <strong>for</strong> the two new groups). Click Continue <strong>and</strong> then OK (Dialog box 64).<br />

Table 18 presents the sample size, mean, st<strong>and</strong>ard deviation, <strong>and</strong> st<strong>and</strong>ard<br />

error of the mean (i.e., amount of error in the prediction of the population mean)<br />

in each group. The statistical comparison of the group means is per<strong>for</strong>med in<br />

Table 19. If the Levene test is significant, you should conclude that the variances<br />

of the take-off velocity scores in the two groups are not homogeneous. In this<br />

case, you should report the t value that corresponds to the equal variances not<br />

assumed. If the Levene test is not significant, you should conclude that the<br />

variances are homogeneous <strong>and</strong> you should report the t value that corresponds to<br />

the equal variances assumed. 1<br />

The Levene test in Table 18 is not significant (F ˆ .81; p ˆ .38, which is<br />

greater than .05), <strong>and</strong> the corresponding t value is significant (t ˆ 9.96; p ˆ .000).<br />

There<strong>for</strong>e, you should conclude that the mean scores of take-off velocity differ<br />

Dialog box 63<br />

1 In Table 19 both tests give the same result, but this is not always the case.

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