DATA ANALYSIS

Data Analysis

Data Analysis

Table for characteristic of respondents

age

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

18-24

25

11.9

11.9

11.9

25-30

64

30.5

30.5

42.4

31-39

70

33.3

33.3

75.7

over 40

51

24.3

24.3

100.0

Total

210

100.0

100.0

It can be seen that 11.9% of the respondents are in the first age group which is 18-24, 30.5% in the second age group and 33.3 % of the respondents are in the third age group and 24.3% are in the last age group which is over 50.

Gender

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

male

105

50.0

50.0

50.0

female

105

50.0

50.0

100.0

Total

210

100.0

100.0

This table reveals this fact that 50% of the respondents were female and 50% of the respondents were male. There were equal number of male and female in this survey.

Religion

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Muslim

177

84.3

84.3

84.3

Christian

33

15.7

15.7

100.0

Total

210

100.0

100.0

This table reveals this fact that most of the participants were Muslim and only 15.7% of the respondents were Christians.

M.status

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Married

143

68.1

68.1

68.1

Single

42

20.0

20.0

88.1

Divorced

16

7.6

7.6

95.7

Other

9

4.3

4.3

100.0

Total

210

100.0

100.0

In this survey majority of the respondents were married, 20% were single and 7.6% of the respondents were Divorced.

education

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

University

23

11.0

11.0

11.0

Secondary school

66

31.4

31.4

42.4

Technical training

16

7.6

7.6

50.0

Primary school

43

20.5

20.5

70.5

other

62

29.5

29.5

100.0

Total

210

100.0

100.0

It can be seen that the majority of the respondents had a secondary school as a highest level of education.

job

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

full time

100

47.6

47.6

47.6

part time

4

1.9

1.9

49.5

occasional

9

4.3

4.3

53.8

Unemployed

34

16.2

16.2

70.0

Housewife

57

27.1

27.1

97.1

Other

6

2.9

2.9

100.0

Total

210

100.0

100.0

It can be figured out that the majority of the respondents had a full time job, 1.9% had a part time job and the 16.2% of the participants were unemployed.

Graphical presentation of the characteristic of respondents

Statistical Output of Gender to Stigma

Gender * Do you feel guilty because you have HIV

Crosstab

guilty

Total

3

very

quite

not at all

Gender

male

Count

0

15

17

73

105

% within Gender

.0%

14.3%

16.2%

69.5%

100.0%

female

Count

1

16

20

68

105

% within Gender

1.0%

15.2%

19.0%

64.8%

100.0%

Total

Count

1

31

37

141

210

% within Gender

.5%

14.8%

17.6%

67.1%

100.0%

Chi square test

Ho: the column and the row variable are independent

H1: the column and the row variable are dependent

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

1.453a

3

.693

Likelihood Ratio

1.839

3

.606

Linear-by-Linear Association

1.046

1

.306

N of Valid Cases

210

a. 2 cells (25.0%) have expected count less than 5. The minimum expected count is .50.

It can be figured out that the significant value (p= 0.693) is less than level of significance (0.05) hence it can be concluded that these two variables are independent.

Gender * Do you feel ashamed of your situation?

Crosstab

ashamed

Total

very

quite

not at all

Gender

male

Count

26

16

63

105

% within Gender

24.8%

15.2%

60.0%

100.0%

female

Count

33

11

61

105

% within Gender

31.4%

10.5%

58.1%

100.0%

Total

Count

59

27

124

210

% within Gender

28.1%

12.9%

59.0%

100.0%

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

1.789a

2

.409

Likelihood Ratio

1.796

2

.407

Linear-by-Linear Association

.495

1

.482

N of Valid Cases

210

a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 13.50.

It can be figured out that the significant value (p= 0.409) is less than level of significance (0.05) hence it can be concluded that these two variables are independent.

Gender * Do you feel that you are avoided by people because of your condition?

Crosstab

avoided

Total

11

not at all

some times

often

Gender

male

Count

1

73

19

12

105

% within Gender

1.0%

69.5%

18.1%

11.4%

100.0%

female

Count

0

69

16

20

105

% within Gender

.0%

65.7%

15.2%

19.0%

100.0%

Total

Count

1

142

35

32

210

% within Gender

.5%

67.6%

16.7%

15.2%

100.0%

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

3.370a

3

.338

Likelihood Ratio

3.778

3

.286

Linear-by-Linear Association

1.649

1

.199

N of Valid Cases

210

a. 2 cells (25.0%) have expected count less than 5. The minimum expected count is .50.

It can be figured out that the significant value (p= 0.338) is less than level of significance (0.05) hence it can be concluded that these two variables are independent.

Gender * It is my fault that I have HIV

Crosstab

fault

Total

agree

disagree

strongly agree

12

Gender

male

Count

15

84

6

0

105

% within Gender

14.3%

80.0%

5.7%

.0%

100.0%

female

Count

6

94

4

1

105

% within Gender

5.7%

89.5%

3.8%

1.0%

100.0%

Total

Count

21

178

10

1

210

% within Gender

10.0%

84.8%

4.8%

.5%

100.0%

Chi-Square Tests

Value

df

Asymp. Sig. (2-sided)

Pearson Chi-Square

5.819a

3

.121

Likelihood Ratio

6.336

3

.096

Linear-by-Linear Association

2.575

1

.109

N of Valid Cases

210

a. 2 cells (25.0%) have expected count less than 5. The minimum expected count is .50.

It can be figured out that the significant value (p= 0.121) is less than level of significance (0.05) hence it can be concluded that these two variables are ...