The results I found for attitudes towards suicide were what was expected.
I ran the significance values for level of education (degree) and for age. However
my disk contracted a virus and I lost my data set and was not able to run
significance values for my other independent variables (age, income). What I
found was that attitudes towards suicide were affected by degree and age.
Degree was the most powerful predictor of attitudes towards suicide. I
used the Somers'd method because both the dependent variable and the
independent variable had nominal values. The Somers'd value was .187 and was
significant at the 001 level. This means that there is a 18.7 or 19% reduction in
error in predicting attitudes towards suicide by knowing the respondent's highest
degree earned. The higher someone's education the more likely that they can see
suicide acceptable in at least one situation. Table 1 shows the extremes of the
degree category to display the strong correlation. We can see, of the respondents
who had less than a High school Diploma only 54.6% of them could not see
suicide acceptable in any of the four situations. Out of all the respondents who
earned a high school diploma only 41% of them could not deem suicide
acceptable in any situation and out of all the respondents who have higher than a
high school diploma only 30% of them could not accept it in any situation.
The Chi Square could not be interpreted because there was not 5 people in
every cell. Technically in this circumstance we can not reject the null hypothesis,
but there was only one cell with three and we found that there is a 19%
significance value so we can assume that three is a relationship between our
independent and dependent variables.
TABLE 1. ATTITUDES TOWARDS SUICIDE AS COMPARED WITH
Age was another strong predictor of attitudes towards suicide. Once again
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