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CHI-square (Χ 2 ) test for fourfold tables<br />

The easiest way to assess the independence of two alternative characteristics is <strong>by</strong><br />

means of the CHI-square test for fourfold tables. The independence of the secondary<br />

dependent variables is identified with the help of this test. The level of significance is<br />

represented in table 3E.<br />

Significance<br />

The levels of significance are defined in the presentation of the results for all used<br />

procedures (see table 3E), [54, 66]<br />

Level of Assessment Symbol Quantile for Quantile of Χ 2 test<br />

significance<br />

(α or P)<br />

K-S test<br />

(n=14)<br />

the normal<br />

distribution<br />

α ≤ 0.05 significant * Z ≥ 0.349 Z ≥ 1.645 Z ≥ 3.84<br />

α ≤ 0.01 very significant ** Z ≥ 0.418 Z ≥ 2.326 Z ≥ 6.64<br />

α ≤ 0001 highly significant *** Z ≥ 3.090 Z ≥ 10.83<br />

Table 3E: Levels of significance<br />

Master’s Thesis Wolfgang Aspalter 52

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