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.
The Essay on High Degree Language One Pain
To What Extent Does the Nature of Language Illuminate Our Understanding of the Relation Between Knowledge of Ourselves and Knowledge of Others? More than any other thing, the use of language sets humankind apart from the remainder of the animal kingdom. There is some debate as to where the actual boundary between language and communication should be drawn, however there seems to be no debate as to ...
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 HIGHEST DEGREE EARNED. Age was another strong predictor of attitudes towards suicide.
Once again we used the Somers? d value. The Somers? d value was. 142 and was significant at the. 001 level. There was a 14% reaction in predicting attitudes towards suicide by knowing the respondents age. The older someone is the more likely they are to be against suicide in most situations.
The younger the respondent is they are more likely to feel it is acceptable in at least one situation. As we can see from Table 2 of the respondents between the ages of 64-89 a total of 57. 4% of them were completely against suicide in every situation. At the same time, only 32% of the respondents between the ages of 18-30 were completely against it. TABLE 2. ATTITUDES TOWARDS SUICIDE AS COMPARED WITH AGE.
Out of the re spo 0 n dents who fell between the oldest and youngest age groups they were pretty much equally divided. They could cover the gray areas by seeing suicide acceptable in one or two possible situations. My personal opinion is that the older you are the more hardships and bad situations you have overcome. Everyone has had a point in there life where they thought things couldn? t get worse and you have to learn to overcome obstacles. Older people have lived through many bad situations so they can not see suicide as excusable it? s just an easy way out APPLIED SOCIOLOGY ASSIGNMENT #3.
