REVISION

profileHussain2018
FINALREVISIONTWO.docx

Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

Life of the person

Suicide 

984

49.8%

990.0

50.20%

1974.00

100.0%

0

1

2

3

4

5

6

7

EIGHT OR

MORE

TOO LITTLE

226.00

111.00

208.00

106.00

51.00

15.00

10.00

1.00

5.00

733.00

ABOUT

RIGHT

57.00

18.00

45.00

18.00

17.00

5.00

3.00

4.00

6.00

173.00

TOO MUCH

20.00

12.00

20.00

15.00

7.00

1.00

2.00

1.00

0.00

78.00

303.00

141.00

273.00

139.00

75.00

21.00

15.00

6.00

11.00

984.00

Total

NUMBER OF suicide Cross tabulation

Count

NUMBER OF Suicide

Total

IMPROVI

Suicide

Measures

Value

Asymptotic Standard Error

Approximate T

Approximate Significance

Ordinal by Ordinal

Gamma

0.075

0.050

1.5020

0.133

N of Valid Cases

984.00

a. Not assuming the null hypothesis.

b. Using the asymptotic standard error assuming the null hypothesis.

The above-mentioned data (table) shows the relationship between the numbers of suicide) Independent variable (IV) )

Individual have and their options on increasing the life (dependent variable)

Hypothesis Research: The opinion of the people on person life affected by the number of suicide they all have.

Null hypothesis:

From the above analysis we can see that there is relationship between dependent variable and independent variable so we can conclude that a person has the right to end his or her own life if this person is tired of living and ready to die.

We used the Gamma because as my dependent variable (DV) is used because my Dependent variable “Suicide” is ordinal also that my Independent Variable Number of suicide is not nominal. The value of 0.075 it is telling us that the number of suicide an individual has affects the life of the person by 7.50%. Because of this information showed in the charts above, the relationship is weak. However, because of the positive sign of 0.075 there is an indication that both life (dependent variable) and the number of suicide Independent variable (IV) are positively strong associated? This is concluded and reflected in the way in which the variables are coded where, as one goes increase and the one as well.

PROFESSORS COMMENTS:

Good work so far on your analysis, it looks like you have a very weak relationship based on gamma value of .075. However, I am not sure what variable you are using in your independent variable and dependent variable. Could you let us know that? Then I can help you formulate your research question a bit better and your hypothesis. Because you formulate we don’t know the exact variables you are using, we also can’t tell if you have used the right measure of association.

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