The data is analyzed by using the
two types of the analysis as descriptive and inferential analysis. Descriptive
analysis is concluded for the demographic questions of the respondents as age,
gender and grade. The inferential analysis is conducted by using the SPSS
software which is innovative tools for generating the numerical data; this
software can reduce the chances of the data manipulation.
Descriptive
analysis of Impact of Social Networking Sites on the Mental Health of
the Children and Adolescents
Descriptive analysis is based on
the three demographic questions of the respondents.
Respondents’ Demographics
|
|
Frequency
|
Percentage
|
Gender (N=150)
|
Male
Female
|
90
60
|
60%
40%
|
Age (N=150)
|
Less than 10 years
10-12years
13-15 years
16 years plus
|
00
55
60
35
|
00%
36%
40%
24%
|
Grade ( 150)
|
8-10
11-12
|
60
90
|
40%
60%
|
Interpretation of Impact of
Social Networking Sites on the Mental Health of the Children and Adolescents
The frequency distribution table
is used to showing the averages of the respondents for giving the answers of
the first three questions of the respondents. Such as the 60% respondents are the female and
remaining 90% are the male.36% respondents are from the age group of the 10 to
12 years whenever 40 % are from the 13 to 15 years and 24% are more than 16%.
The 40% of the respondents are studying in the 8to 12 standards and remaining
60% are studying in the 11to 12 standards.
Inferential
analysis of Impact of Social Networking Sites on the Mental Health of
the Children and Adolescents
It includes the statically
analysis which are conducted by putting the data in to SPSS three types of test
are applied to analyzing the data in inferential analysis as Chron Bach’s alpha
is used measuring the reliability of the data correlation describe the
relationship of the variables while regression illustrates influence of the
variables.
Reliability
and validity test of Impact of Social Networking Sites on the Mental
Health of the Children and Adolescents
Construct
|
Valid No
|
Item in each F.V
|
Cronbach’s
Alpha
|
Use of Social Networking Sites
|
150
|
4
|
.805
|
Mental health of C&A
|
150
|
4
|
.755
|
Interpretation of Impact of
Social Networking Sites on the Mental Health of the Children and Adolescents
The chron bach’alpha is used to
measuring the reliability and validity of eth data; if the value of the Cronbach’s Alpha is greater than 0.7. The
values for the Use of Social Networking Sites is 0.805 and the value of the Cronbach’s
Alpha for Mental health of C&A is .755 it means the data is reliable for further analysis.
|
Coefficient
|
Standard
Error
|
t-Ratio
|
Sig.
|
(Constant)
|
2.858
|
.254
|
11.232
|
.000
|
Use of Social networking sites
|
.836
|
.078
|
3.635
|
.007
|
Model
Summary
|
Model
|
R
|
R
Square
|
Adjusted
R Square
|
Std.
Error of the Estimate
|
1
|
.986a
|
.892
|
.859
|
.0092
|
a.
Predictors: (Constant), Use of Social networking sites
|
Interpretation of Impact of Social Networking Sites on the Mental Health of the Children and Adolescents
The regression is applied to evaluating
the influence of the independent variable on the dependent variable. As the
table of the model summary is representing the value of eth adjusted r square
is .859 it means there 85 percent impact if the independent variable on the
dependent variable. All the values for all the variables are highly significant
because all the values are less than 0.05.
Correlations
|
|
Use
of Social networking sites
|
Mental
health of the children and adolescents
|
Use
of Social networking sites
|
Pearson
Correlation
|
1
|
.986
|
Sig.
(2-tailed)
|
|
.007
|
N
|
150
|
150
|
Mental
health of the children and adolescents
|
Pearson
Correlation
|
.986
|
1
|
Sig.
(2-tailed)
|
.007
|
|
N
|
150
|
150
|
Interpretation of Impact of Social Networking Sites on the Mental Health of the Children and Adolescents
The correlation analysis used to
measuring the relationship of the variables this analysis shows Use of Social networking sites and Mental health of the
children and adolescents has positive significant relationship with each other
it means by increasing the number of the users the problems of the mental
depression also will increase.