The present research was conducted to study the relationship between Emotional Deprivation and Bullying Victimization in adolescents with single parents. Analysis was done on both variables to see the relation between them. Furthermore, the role of demographic variables (parental status, father status, mother status, occupational status, family system, institutional type) was also investigated. For the purpose of reliability, estimates of two instruments were calculated. Pearson product correlation, and independent sample t test were applied. Regression analysis applied for the prediction of variables. Statistical package for social science (SPSS) version of 27 was used for different statistics. The present research results were given below.
To find the reliability of variables named Emotional Deprivation and Bullying Victimization, a reliability analysis was conducted
Table 1 Psychometric Properties of Emotional Deprivation and Bullying Victimization
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)
M=Mean; SD= Standard Deviation; α= Alpha Coefficient
The study's assessment of reliability indicates that the questions related to Emotional Deprivation and Bullying Victimization consistently measure what they're intended to measure. The scores for reliability were found to be satisfactory to high for both Emotional Deprivation with a score of 0.81(>.70) and Bullying Victimization with a score of 0.88(>.70), indicating satisfactory internal consistency. Moreover, when looking at specific aspects of Bullying Victimization, such as Verbal Bullying, Physical Bullying, and Social Bullying again, their respective scores for internal consistency were also found to be 0.82, 0.63, and 0.67. (>.70,<.70,<.70) respectively. which indicate satisfactory internal consistency for Verbal Bullying and low internal consistency for Physical Bullying, and Social Bullying. Overall, these findings give us confidence in the quality of the scales used in the study and help us better understand the characteristics they are designed to measure.
It was hypothesized that there is likely to be a positive relationship between Emotional Deprivation and Bullying Victimization. In order to see the relationship between variable a correlation analysis was used.
Table 2 Pearson-product moment Correlations for Emotional Deprivation and Bullying Victimization
Variable
|
n
|
M
|
SD
|
1
|
2
|
3
|
4
|
5
|
Emotional deprivation
|
150
|
1.54
|
1.57
|
_
|
|
|
|
|
Bullying victimization
|
150
|
29.93
|
11.22
|
.40**
|
_
|
|
|
|
Verbal bullying
|
150
|
8.54
|
3.99
|
.43**
|
.93**
|
_
|
|
|
Physical bullying
|
150
|
9.88
|
3.92
|
.34**
|
.77**
|
.89**
|
_
|
|
Social bullying
|
150
|
9.71
|
3.63
|
.30**
|
.83**
|
.69**
|
.67**
|
_
|
Note; n=number of participants, M=mean, SD=standard deviation
Table 4.2 The relationship between emotional deprivation and bullying victimization is (r=.40,p=.01). This suggests that there is a moderate positive correlation between emotional
deprivation and being a victim of bullying. In other words, individuals who report higher levels of emotional deprivation tend to also report higher levels of bullying victimization. The relationship between verbal bullying and emotional deprivation is (r=.43, p=.01). and with bullying victimization it stated (r=.93 ,p=.01). This indicates a moderate positive relationship between experiencing verbal bullying, emotional deprivation and overall bullying victimization. Individuals who report more instances of verbal bullying also tend to report higher levels of bullying victimization. The relationship between physical bullying and bullying victimization is (r=.89 ,p=.01). This suggests a moderate positive correlation, indicating that individuals who experience more emotional deprivation and physical bullying also tend to report higher levels of bullying victimization. The correlation between social bullying and emotional deprivation is (r=.30,p=.01), bullying victimization is (r=.67,p=.01). This indicates a moderate positive correlation between social bullying experiences and overall bullying victimization and emotional deprivation. Individuals who report more social bullying tend to report higher levels of bullying victimization and emotional deprivation.
In order to quantify the extent of influence that emotional deprivation has on bullying victimization, a regression analysis was conducted.
Table 3 Simple Linear Regression Analysis For Predicting Emotional Deprivation From Bullying Victimization (N=150)
Variable
|
B
|
SE
|
t
|
P
|
95% CI
|
Constant
|
25.50
|
1.28
|
21.56
|
<.00***
|
[23.2,27.8]
|
Verbal Bullying
|
6.89
|
.41
|
16.51
|
<.00***
|
[6.04,7.08]
|
Physical Bullying
|
8.56
|
.42
|
20.21
|
<.00***
|
[7.72,9.03]
|
Social Bullying
|
8.62
|
.39
|
21.66
|
<.00***
|
[7,83,9.40]
|
Emotional Deprivation
|
2.88
|
.54
|
5.33
|
<.00***
|
[1.81,3.94]
|
Note: Constant = Bullying Victimiation; B=Unstandardized Coeffecient; SE= Estimated Error; CI= Confidential Interval
In regression table, The value of R2 is .16 that mean it influence results by about 16.1%. The equation was found as F (1,148) =28.42 p<.001 with an R2 of .16 tells that research model is meaningful and solid. When focused on just verbal bullying and emotional deprivation, these two factors explained 18% of our results, and with F (1,148) = 30.7 p<.001 with an R2 of .18.
When physical bullying combined with emotional deprivation, they turned out to be really strongly related, explaining a whopping 93% of our results F (1,148) = 40.7 p<.001 with an R2 of
.93. Lastly, social bullying and emotional deprivation together, they explained about 11% of our results, F (1,148) = 19.78 p<.001 with an R2 of .11. So, all these numbers help us understand how bullying and emotional deprivation are connected, with some combinations having stronger influences than others. The finding reveled that emotional deprivation positively predicted bullying victimization (β=.401, p<.001).
It was hypothesized that there is likely to be an existence of gender difference, in Emotional deprivation and bullying victimization
Table 4 Mean Comparison of Gender in Emotional Deprivation and Bullying Victimization (N=150)
Gender
|
|
Males
|
Females
|
|
|
|
Variables
|
M
|
SD
|
M
|
SD
|
t(150)
|
p
|
Cohen’s d
|
Emotional
Deprivation
|
2.02
|
1.64
|
1.21
|
1.42
|
3.17
|
.002
|
.53
|
Bullying Victimization
|
34.56
|
14.47
|
26.78
|
6.73
|
4.43
|
.00
|
.57
|
Verbal Bullying
|
10.39
|
5.26
|
7.27
|
2.03
|
5.08
|
<.00
|
.84
|
Physical Bullying
|
2.02
|
1.64
|
1.21
|
1.42
|
3.17
|
.01
|
.40
|
Social Bullying
|
11.39
|
4.53
|
8.84
|
3.06
|
4.12
|
<.00
|
.68
|
Note: M= mean; SD=standard deviation
Table 4.4 presents a comparative analysis of gender differences in Emotional Deprivation and Bullying Victimization among a sample population. The table outlines mean scores and standard deviations for male and female participants in various psychological variables. Notably, statistically differences emerge in Emotional Deprivation, with males scoring higher (M = 2.02, SD = 1.64) than females (M = 1.21, SD = 1.42). Additionally, concerning Bullying Victimization, male participants (M = 34.56, SD = 14.47) report higher victimization experiences compared to females (M = 26.78, SD = 6.73. Similarly, Verbal Bullying and Social Bullying and Physical Bullying exhibit gender disparities, with males experiencing higher levels of victimization compared to females.