As illustrated in Table 3, the researchers used a .05 level of significance for the chisquare
test. According to Keyton (2011) the significance level is the “level of error the
researcher is willing to accept” (p. 197). This indicates that the researchers had only a .05 level of error for this study. According to Keyton (2011), this means that in an analysis of 100
individuals, “5 out of the 100 findings that appear to be valid will, in fact, be due to chance” (p.197). Setting this level of significance gave the researchers a greater degree of accuracy and
validity in analyzing the outcome of the test.