An evaluative research approach , quasi-experimental non-equivalent control group post-test design and Non – probability purposive sampling technique was used in the study. Settings – Rural community Inter college , Meerut. Samples: Rural community Inter college , Meerut. Sample Size: 60. The reliability was assessed by testing the instruments is co-relation of knowledge test was calculated by using (Kuder Richardson 20 Formula), it was found r=0.8. It indicates tool is reliable.
The tools used for this study was RYFF’S PSYCHOLOGICAL WELL-BEING SCALE a for assessing the level of substance abuse patients and its demographic variables.
Section 1: Demographic variables of the samples
It included variables like age, gender, religion. Occupation, type of family, , duration of substance use, etc…..
. SECTION B
RYFF’S PSYCHOLOGICAL WELL-BEING SCALE (42 ITEMS)
Data represents in table show – The pre-test and post-test score of Mean was 48.93 and 109.93 respectively and the Standard Deviation score of pre and post-test was 16.90 and 21.72 respectively. The mean difference was 61 and paired t” test score was 11.2352 that is more than the table value that is 2.045, df (29) *At 0/05 level of significance also the calculated P< 0.001 which was much lower than the acceptable level of significant i.e P<0.05. Hence (H1) significantly interpreted that psycho-social nursing intervention helps to enhance the psychological well-being of adolescent childsrens of substance abusive parents in selected community area at Meerut.
SECTION C
THE SCHUTTE SELF REPORT EMOTIONAL INTELLIGENCE SCALE (33 ITEMS)
Data represents in table shows- The table value depicts that the difference of mean post test score was 109.93 in experimental group and 48.60 in control group and the standard deviation score was 27.72 in experimental and 16.20 in control group. The mean difference score was 61.33. The calculated unpaired “t”test score was 12.397 for df 58 at 0.05 level of significance which is higher than the table value that is 2.00 also the calculated P<0.001 which was much lower than the acceptable level of significance i.e P<0.005. Hence so it is statistically interpreted that psycho-social nursing intervention helps to effect the level of psychological well-being among adolescent childrens of substance abusive parents in selected community area at Meerut.
DATA ANALYSIS AND INTERPRETATION
TABLE 4.1: Frequency and percentage distribution to analysis the demographic data of adolescent childrens of substance abusive parents in experimental and control group.
n=60
S.NO.
|
Socio-demographic variables
|
Experimental group (n=30)
|
Control group
(n=30)
|
|
|
frequency
|
%
|
frequency
|
%
|
1
|
AGE ( IN YEARS)
|
|
|
|
|
|
12-13 YEARS
|
9
|
30%
|
7
|
23%
|
|
14-15 YEARS
|
8
|
27%
|
10
|
34%
|
|
16-17 YEARS
|
6
|
20%
|
6
|
20%
|
|
18-19 YEARS
|
7
|
23%
|
7
|
23%
|
2
|
GENDER
|
|
|
|
|
|
MALE
|
11
|
37%
|
14
|
47%
|
|
FEMALE
|
19
|
63%
|
16
|
53%
|
3
|
TYPE OF FAMILY
|
|
|
|
|
|
NUCLEAR FAMILY
|
13
|
43%
|
12
|
40%
|
|
JOINT FAMILY
|
6
|
20%
|
9
|
30%
|
|
EXTENDED FAMILY
|
11
|
37%
|
9
|
30%
|
4
|
OCCUPATION
|
|
|
|
|
|
UNEMPLOYED
|
13
|
43%
|
7
|
23%
|
|
SELF-EMPLOYED
|
6
|
20%
|
11
|
37%
|
|
PRIVATE JOB
|
6
|
20%
|
7
|
23%
|
|
GOVERNMENT JOB
|
3
|
10%
|
3
|
10%
|
|
FAMILY BUSINESS
|
2
|
7%
|
2
|
7%
|
5
|
NO. OF SIBLINGS
|
|
|
|
|
|
1
|
10
|
33%
|
11
|
36%
|
|
2
|
16
|
53%
|
15
|
50%
|
|
3
|
2
|
7%
|
2
|
7%
|
|
MORE THAN 3
|
2
|
7%
|
2
|
7%
|
6
|
LAST ACADEMIC SCORE OF STUDENT
|
|
|
|
|
|
>80%
|
10
|
33%
|
9
|
30%
|
|
71-80%
|
11
|
37%
|
11
|
37%
|
|
61-70%
|
2
|
7%
|
3
|
10%
|
|
<60%
|
7
|
23%
|
7
|
23%
|
7.
|
QUALIFICATION
|
|
|
|
|
|
9th
|
1
|
3%
|
1
|
3%
|
|
10th
|
11
|
37%
|
9
|
30%
|
|
11th
|
1
|
3%
|
6
|
20%
|
|
12th
|
17
|
57%
|
14
|
47%
|
Data presented in table depicts in experimental group that:-
- As per age majority of the samples belongs to 9(30%) were in the age group of 12-13 years, 8(27%) were age group of 14-15 years, 6(20%) were in 16-17 years and 7(23%) were in 18-19 years.
- Majority of sample 11(37%) were male, and 19(63%) were females.
- Majority of sample 13(43%) belongs to nuclear family, 6(20%) belongs to joint family, 4(37%) belongs to extended family.
- Majority of sample 6(20%) belongs to private job, 3(10%) belongs to government job, 6(20%) were self-employed, 13(43%) were unemployed and family business 2(7%)
- Majority of sample 10(33%) were 1 no. of sibling, 16(53%) were below 2 no. of sibling, 2(7%) were 3 no. of sibling, 2(7%) more than 3 siblings.
- Last academic score of the student majority of sample were 10(33%) >80%, 4(37%) were 71-80%, 2(7%) were 61-70% and 7(23%) were <60%.
- Qualification shows that the maximum samples were 9th class 1(3%), 10th class were 11(37%), 11th class were 1(3%) and 12th class were 17(57%).
Data presented in table depicts in control group that-
- The data represented in the table shows that majority of sample 7(23%) were in age group of 12-13 years, 10(34%) were in the age group of 14-15 years, 6(20%) were in 16-17 years and 7(23%) were in 18-19 years.
- Majority of sample 14(47%) were male, and 16(53%) were females.
- Majority of sample 12(40%) belongs to nuclear family, 9(30%) were belongs to joint family, 9(30%) were belongs to extended family.
- Majority of sample 7(23%) belongs to private job, 3(10%) belongs to government job,11(37%) were self-employed, 7(23%) were unemployed and 2(7%) were in family business.
- Majority of sample 11(36%) were no. of 1 sibling, 15(50%) were no. of 2 sibling, 2(7%) were no. of 3 sibling and 2(7%) were more than 3 sibling.
- In regards to last academic score of the student majority of sample 9(30%) were >80%, 11(37%) were 71-80%, 3(10%) were 61-70% and 7(23%) were <60%.
- Majority of sample 1(3%) belongs to 9th class, 9(30%) belongs to 10th class, 6(20%) belongs to 11th class and 14(47%) belongs 12th class.
TABLE- Mean, mean difference, standard deviation, standard deviation difference, and “t” value of pre-test and post-test score in experimental group
n= 30
Level of Emotional Intelligence
|
Mean
|
Mean Diff.
|
D
F
|
SD
|
SD
Diff.
|
Paired t-test (cal.)
|
T-test Table Value
|
P Value
|
Pre test
|
2.89
|
1.72
|
29
|
1.05
|
0.75
|
9.46
|
2.045
|
P<0.00001
|
Post test
|
4.61
|
0.30
|
*Significant P<0.05 level of significance
Data represents in table show- The pre-test and post-test score of Mean was 2.89 and 4.1 respectively and the Standard Deviation score of pre and post-test was 1.05 and 0.30 respectively. The mean difference was 1.72 and paired t” test score was 9.4645 that is more than the table value that is 2.045, df=(29) At 0.05 level of significance also the calculated P<0.001 which was much lower than the acceptable level of significant i.e P<0.05. Hence (H1) it is significantly interpreted that psycho-social nursing intervention helps to enhance level of emotional intelligence among adolescent childrens in selected community area at Meerut.
Hence the research hypothesis H1 was accepted and null hypothesis H01 was rejected at 0.05 level of significance.
SUBSTABCE ABUSIVE PARENTS IN EXPERIMENTAL GROUP
TABLE- Mean, mean difference, standard deviation, standard deviation difference, and “t” value of pre-test and post-test in experimental group
n=30
Level of Psychological Well Being
|
Mean
|
Mean diff.
|
DF
|
SD
|
SD diff.
|
Paired t-test
|
T-test Table Value
|
P value
|
Pre-test
|
48.93
|
61
|
29
|
16.90
|
4.82
|
11.23
|
2.045
|
P<0.00001 S*
|
Post-test
|
109.93
|
21.72
|
*Significant P<0.05 level of significance
Data represents in table show – The pre-test and post-test score of Mean was 48.93 and 109.93 respectively and the Standard Deviation score of pre and post-test was 16.90 and 21.72 respectively. The mean difference was 61 and paired t” test score was 11.2352 that is more than the table value that is 2.045, df (29) *At 0/05 level of significance also the calculated P< 0.001 which was much lower than the acceptable level of significant i.e P<0.05. Hence (H1) significantly interpreted that psycho-social nursing intervention helps to enhance the psychological well-being of adolescent childsrens of substance abusive parents in selected community area at Meerut.
TABLE- Compare the post test score on level of emotional intelligence between experimental and control group
n=60
Level of Emotional Intelligence
|
Mean
|
Mean diff.
|
DF
|
SD
|
SD diff.
|
Unpaired t-test (cal.)
|
T-test Table value
|
P value
|
Experimental group
|
4.61
|
1.87
|
58
|
0.30
|
0.82
|
8.8304
|
2.00
|
P<0.00
001
S*
|
Control group
|
2074
|
1.12
|
*Significant P<0.05 level of significance
Data represents in table shows- The table value depicts that the difference of mean post test score was 4.61 in experimental group and 2.74 in control group and the standard deviation score was 0.30 in experimental and 1.12 in control group. The mean difference score was 1.87. The calculated unpaired “t”test score was 8.8304 for df 58 At 0.05 level of significance which is higher than the table value that is 2.00 also the calculated P<0.001 which was much lower than the acceptable level of significance i.e P<0.005. Hence so it is statistically interpreted that psycho-social nursing intervention helps to effect the level of emotional intelligence among adolescent childrens of substance abusive parents in selected community area at Meerut.
Hence the research hypothesis H2 was accepted and null hypothesis H02 was rejected at 0.05 level of significance.
Table- Compare the post test score on level of psychological well-being of adolescent childrens between experimental and control group.
n=60
Level of Psychological well-being
|
Mean
|
Mean diff
|
DF
|
SD
|
SD diff
|
Unpaired t-test (cal.)
|
T-test Table value
|
P-value
|
Experimental group
|
109.93
|
61.33
|
58
|
21.72
|
5.52
|
12.397
|
2.00
|
P<0.00
001
S*
|
Control group
|
48.60
|
16.20
|
*Significant P<0.05 level of significance
Data represents in table shows- The table value depicts that the difference of mean post test score was 109.93 in experimental group and 48.60 in control group and the standard deviation score was 27.72 in experimental and 16.20 in control group. The mean difference score was 61.33. The calculated unpaired “t”test score was 12.397 for df 58 at 0.05 level of significance which is higher than the table value that is 2.00 also the calculated P<0.001 which was much lower than the acceptable level of significance i.e P<0.005. Hence so it is statistically interpreted that psycho-social nursing intervention helps to effect the level of psychological well-being among adolescent childrens of substance abusive parents in selected community area at Meerut.
Hence the research hypothesis H2 was accepted and null hypothesis H02 was rejected at 0.05 level of significance.
SECTION III
Table-13 Chi square values showing association between pre-test psychological well-being score of experimental group with selected demographic variables of adolescent childrens of substance abusive parents.
n=30
S.NO
|
Socio demographic variables
|
Pre-test score of psychological well-being in experimental group
|
Chi square
|
|
Level of significance
|
|
|
Low
|
Moderate
|
High
|
Cal. Value
|
Table value
|
DF
|
P value
|
|
1.
|
Age in years
|
|
|
|
6.05
|
12.59
|
6
|
0.41739
|
NS
|
12-13
|
5
|
2
|
0
|
14-15
|
7
|
2
|
1
|
16-17
|
2
|
3
|
1
|
18-19
|
2
|
3
|
2
|
2.
|
Gender
|
|
|
|
7.23
|
5.99
|
2
|
0.026917
|
S*
|
Male
|
3
|
7
|
1
|
Female
|
13
|
3
|
3
|
3.
|
Type of family
|
|
|
|
5.16
|
9.49
|
4
|
0.049953
|
NS
|
Nuclear
|
9
|
3
|
1
|
Joint
|
4
|
1
|
1
|
Extended
|
3
|
6
|
2
|
4.
|
Occupation
|
|
|
|
16.4
|
15.51
|
8
|
0.036874
|
S*
|
Unemployed
|
9
|
4
|
0
|
Self employed
|
4
|
2
|
0
|
Private Job
|
2
|
2
|
2
|
Govt. Job
|
1
|
1
|
1
|
Family Business
|
0
|
1
|
1
|
5.
|
No. of siblings
|
|
|
|
3.75
|
12.59
|
6
|
0.41739
|
NS
|
1
|
4
|
5
|
1
|
2
|
10
|
3
|
3
|
3
|
1
|
1
|
0
|
More than 3
|
1
|
1
|
0
|
6.
|
Last academic score
|
|
|
|
14.71
|
12.59
|
6
|
0.022636
|
S*
|
>80%
|
5
|
3
|
2
|
71-80%
|
7
|
3
|
1
|
61-70%
|
1
|
0
|
1
|
<60%
|
3
|
4
|
0
|
7.
|
Qualification
|
|
|
|
14.00
|
12.59
|
6
|
0.710465
|
S*
|
9
|
0
|
0
|
1
|
10
|
6
|
4
|
1
|
11
|
0
|
0
|
1
|
12
|
10
|
6
|
1
|
*Significant P<0.05 level of significance
The data presented in the table shows that it is evident that there was partly significant association between pre-test level of psychological well-being in experimental group among adolescent childrens with their socio demographic variables such as gender, age, type of family, occupation, no. of siblings, last academic score, were not significant. Hence, statistically interpreted that the research hypothesis H3 was accepted and null hypothesis H03 was rejected at 0.05 level of significance.
Table – Chi square values showing association between pre- test psychological well-being score of control group with selected demographic variables of adolescent childrens of substance abusive parents.
n=30
S.NO
|
Socio demographic variables
|
Pre-test score of psychological well-being in experimental group
|
Chi square
|
|
Level of significance
|
|
|
Low
|
Moderate
|
High
|
Cal. Value
|
Table Value
|
DF
|
P value
|
|
1.
|
Age in years
|
|
|
|
11.47
|
12.59
|
6
|
0.074892
|
NS
|
12-13
|
6
|
1
|
0
|
14-15
|
7
|
2
|
1
|
16-17
|
2
|
3
|
1
|
18-19
|
2
|
3
|
2
|
2.
|
Gender
|
|
|
|
0.50
|
5.99
|
2
|
0.778801
|
NS
|
Male
|
7
|
5
|
2
|
Female
|
10
|
4
|
2
|
3.
|
Type of family
|
|
|
|
1.06
|
9.49
|
4
|
0.0900566
|
NS
|
Nuclear
|
7
|
4
|
1
|
Joint
|
5
|
3
|
1
|
Extended
|
5
|
2
|
2
|
4.
|
Occupation
|
|
|
|
6.61
|
15.51
|
8
|
0.579234
|
NS
|
Unemployed
|
5
|
2
|
0
|
Self-employed
|
7
|
3
|
1
|
Private Job
|
3
|
3
|
1
|
Govt. Job
|
2
|
0
|
1
|
Family Business
|
0
|
1
|
1
|
5.
|
No. of siblings
|
|
|
|
7.14
|
12.59
|
6
|
0.38094
|
NS
|
1
|
6
|
4
|
1
|
2
|
10
|
4
|
1
|
3
|
0
|
1
|
1
|
More than 3
|
1
|
0
|
1
|
6.
|
Last academic score
|
|
|
|
2.76
|
12.59
|
6
|
0.8331
|
NS
|
>80%
|
5
|
3
|
1
|
71-80%
|
7
|
3
|
1
|
61-70%
|
1
|
1
|
1
|
<60%
|
4
|
2
|
1
|
7.
|
Qualification
|
|
|
|
7.24
|
12.59
|
6
|
0.299221
|
NS
|
9
|
0
|
0
|
1
|
10
|
5
|
3
|
1
|
11
|
3
|
2
|
1
|
12
|
9
|
4
|
1
|
*Significant P<0.05 level if significance
The data presented in the table shows that it is evident that there was no significant association between pre-test level of psychological well-being in experimental group among adolescent childrens with their socio demographic variables such as gender, qualification, type of family, occupation, no. of siblings, last academic score, qualification were not significant. Hence, the research hypothesis H4 was rejected and null hypothesis H04 was accepted.
Table – Chi square values showing association between pre- test emotional intelligence score of experimental group with selected demographic variables of adolescent childrens of substance abusive parents.
n=30
S.NO
|
Socio demographic variables
|
Pre-test score of psychological wee-being in control group
|
Chi square
|
Level of sig
|
|
|
STRONGLY DIS.
|
SOMEWHAT DIS.
|
NEITHER DIS. NOR AGREE
|
SOMEWHAT AGREE
|
STRONGLT AGREE
|
Cal. V.
|
T V.
|
P V.
|
D F
|
|
1.
|
Age in years
|
|
|
|
|
|
10.59
|
12.59
|
0.101905
|
6
|
NS
|
12-13
|
2
|
6
|
1
|
0
|
0
|
14-15
|
0
|
7
|
1
|
0
|
0
|
16-17
|
1
|
1
|
4
|
0
|
0
|
18-19
|
1
|
5
|
1
|
0
|
0
|
2.
|
Gender
|
|
|
|
|
|
0.30
|
5.99
|
0.860708
|
2
|
NS
|
Male
|
2
|
7
|
2
|
0
|
0
|
Female
|
2
|
12
|
5
|
0
|
0
|
3.
|
Type of family
|
|
|
|
|
|
0.49
|
9.49
|
0.974467
|
4
|
NS
|
Nuclear
|
1
|
9
|
3
|
0
|
0
|
Joint
|
1
|
3
|
2
|
0
|
0
|
Extended
|
2
|
7
|
2
|
0
|
0
|
4.
|
Occupation
|
|
|
|
|
|
33.31
|
15.51
|
0.000054
|
8
|
S*
|
Unemployed
|
1
|
9
|
3
|
0
|
0
|
Self-employed
|
1
|
4
|
1
|
0
|
0
|
Private Job
|
1
|
3
|
2
|
0
|
0
|
Govt. Job
|
1
|
2
|
0
|
0
|
0
|
Family Business
|
0
|
1
|
1
|
0
|
0
|
5.
|
No. of siblings
|
|
|
|
|
|
5.42
|
12.59
|
0.491178
|
6
|
NS
|
1
|
3
|
6
|
1
|
0
|
0
|
2
|
1
|
11
|
4
|
0
|
0
|
3
|
0
|
1
|
1
|
0
|
0
|
More than 3
|
0
|
1
|
1
|
0
|
0
|
6.
|
Last academic score
|
|
|
|
|
|
20.25
|
12.59
|
0.002499
|
6
|
NS
|
>80%
|
0
|
9
|
1
|
0
|
0
|
71-80%
|
0
|
7
|
4
|
0
|
0
|
61-70%
|
2
|
0
|
0
|
0
|
0
|
<60%
|
2
|
3
|
2
|
0
|
0
|
7.
|
Qualification
|
|
|
|
|
|
14.40
|
12.59
|
0.025474
|
6
|
S*
|
9
|
1
|
0
|
0
|
0
|
0
|
10
|
1
|
8
|
2
|
0
|
0
|
11
|
1
|
0
|
0
|
0
|
0
|
12
|
1
|
11
|
5
|
0
|
0
|
*Significant P<0.05 level of significant
The data presented in the table shows that it is evident that there was partly significant association between pre-test score of emotional intelligence score in experimental group among adolescent childrens with their socio demographic variables such as qualification, occupation, were significant and age, gender, type of family, no. of siblings, last academic score were not significant. Hence, the research hypothesis H3 was accepted and null hypothesis H03 was rejected at 0.05 level of significance.
Table – Chi square values showing association between pre- test emotional intelligence score of control group with selected demographic variables of adolescent childrens of substance abusive parents.
n=30
S.NO
|
Socio demographic variables
|
Pre-test score of emotional intelligence in control group
|
Chi square
|
Level of sig
|
|
|
STRONGLY DIS.
|
SOMEWHAT DIS.
|
NEITHER DIS. NOR AGREE
|
SOMEWHAT AGREE
|
STRONGLY AGREE
|
Cal. V.
|
T
V.
|
P
V.
|
DF.
|
|
1.
|
Age in years
|
|
|
|
|
|
0.71
|
12.59
|
0.994273
|
6
|
NS
|
12-13
|
1
|
4
|
2
|
0
|
0
|
14-15
|
1
|
7
|
2
|
0
|
0
|
16-17
|
1
|
3
|
2
|
0
|
0
|
18-19
|
1
|
4
|
2
|
0
|
0
|
2.
|
Gender
|
|
|
|
|
|
2.09
|
5.59
|
|
2
|
NS
|
Male
|
2
|
10
|
2
|
0
|
0
|
Female
|
2
|
9
|
6
|
0
|
0
|
3.
|
Type of family
|
|
|
|
|
|
0.49
|
9.49
|
|
4
|
NS
|
Nuclear
|
2
|
7
|
3
|
0
|
0
|
Joint
|
1
|
5
|
2
|
0
|
0
|
Extended
|
1
|
6
|
2
|
0
|
0
|
4.
|
Occupation
|
|
|
|
|
|
18.61
|
15.51
|
0.974467
|
8
|
S*
|
Unemployed
|
1
|
5
|
1
|
0
|
0
|
Self-employed
|
|
|
|
|
|
Private Job
|
|
|
|
|
|
Govt. Job
|
|
|
|
|
|
Family Business
|
|
|
|
|
|
5.
|
No. of siblings
|
|
|
|
|
|
3.54
|
12.59
|
0.73864
|
6
|
NS
|
1
|
2
|
8
|
1
|
0
|
0
|
2
|
2
|
8
|
5
|
0
|
0
|
3
|
0
|
1
|
1
|
0
|
0
|
More than 3
|
0
|
1
|
1
|
0
|
0
|
6.
|
Last academic score
|
|
|
|
|
|
3.25
|
12.59
|
0.776878
|
6
|
NS
|
>80%
|
1
|
6
|
2
|
0
|
0
|
71-80%
|
1
|
8
|
2
|
0
|
0
|
61-70%
|
1
|
1
|
1
|
0
|
0
|
<60%
|
1
|
3
|
3
|
0
|
0
|
7.
|
Qualification
|
|
|
|
|
|
6.02
|
12.59
|
0.42953
|
6
|
NS
|
9
|
0
|
0
|
1
|
0
|
0
|
10
|
1
|
6
|
2
|
0
|
0
|
11
|
1
|
2
|
3
|
0
|
0
|
12
|
2
|
10
|
2
|
0
|
0
|
*Significant P<0.05 level of significance
The data presented in the table shows that it is evident that there was partly significant association between pre-test score of emotional intelligence in control group among adolescent childrens with their socio demographic variables such as occupation were significant and age, gender, qualification, type of family, last academic score, no. of siblings were not significant. Hence, the research hypothesis H4 was accepted and null hypothesis H04 was rejected at 0.05 level of significance