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Data analysis of Impact of Social Networking Sites on the Mental Health of the Children and Adolescents

Category: Computer Sciences Paper Type: Case Study Writing Reference: N/A Words: 700

        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.

Regressor

 

 

 

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.

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