Statistical significance was determined by conducting chi-square and one-way analysis of variance tests. Chi-square is often used when evaluating the level of statistical significance attained in a cross-tabulation. One-way analysis of variance tests determines the differences between means of a dependent variable by one factor, or independent variable. For a relationship to be considered statistically significant, it must meet a minimum level of significance, which in this case was set at .05. In other words, if a relationship is statistically significant at the .05 level, there would be less than a 5-percent probability that the relationship occurred by chance.