EFFECTS OF FACEBOOK TO THE YOUTH

EFFECTS OF FACEBOOK TO THE YOUTH

INTRODUCTION

I.

II.

Time: 19-25/3/2015
Total research samples: 60
Research area: Son Tra district .
Purpose: to examine the impact level of Facebook on youth people.

ANALYSIS:
1. Description:
a. Gender:

In our survey, we asked 60 people in total. the percentages of genders are
showed in the following chart.

Frequency

Percent

Valid Percent

29
29
2
60

48.3
48.3
3.3
100.0

48.3
48.3
3.3
100.0

Female
Male
Other
Total

The
and males are
females and 29
of females and
2 people in the other sex,
b.

Cumulative
Percent
48.3
96.7
100.0

percentages of females
equal to each other: 29

males corresponding to 48.3%
48.3% of males. Besides, there are
which makes up 3.3%.

Age
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The surveyed ages are between 13 and 30. 19, 20, 21 and 22 year-old people are
examined most.

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Statistics
Age
N

Valid
Missing

Mean
Median
Mode
Variance
Skewness

Std. Error of Skewness
Kurtosis
Std. Error of Kurtosis
Range
Minimum
Maximum
Percentiles
25
50
75

60
0
20.27
20.00
20
11.555
.564
.309
1.492
.608
17
13
30
19.00
20.00
22.00

The average age is 20.27.
The median is 20, 20 is also the age that is surveyed most.

The youngest person is 13 years old while the oldest is 30. Their range is 17 years
old.
Percentiles are 19, 20, 22
 These numbers are relevant to our target people: the youth.

c. Entities: pupils, students and graduates.

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Pupil
Student
Graduate
Total

Frequency
11
41
8
60

Entities
Percent
Valid Percent
18.3
18.3
68.3
68.3

13.3
13.3
100.0
100.0

Cumulative Percent
18.3
86.7
100.0

There are 11 pupils, constituting 18.3%
There are 8 graduates, constituting 13.3%
University students are the most with 68.3%
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=> The entity group that is examined most is University student.

d. Having Facebook accounts:

Have a Facebook account
Frequency
Percent
Valid Percent Cumulative Percent
Yes
59
98.3
98.3

98.3
Used to
1
1.7
1.7
100.0
Total
60
100.0
100.0

59 over 60 people surveyed have a Facebook account.
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

A large number of young people use Facebook.
e.

Average used time per day

Young people spend from 2 to 5 hours a day on average using Facebook.
 Abuse
Facebook, spend less time
on
other

things,

real life,….

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Correlation
a. Correlation between gender and confidence level :
There is a marked difference between males and females.
Description
2.

Gender

Confidence
level on
Facebook's
information

Female
Std.
Stat.
Error

Mean

6.10

0.378

Male
Std.
Stat.
Error

3.93

0.324

Other
Std.
Stat.
Error

3

Lower
Bound

5.44

3.12

-22.41

Upper
Bound

6.76

4.74

28.41

5% Trimmed
Mean

6.25

3.77

.

Median

6.00

4

3

Variance
Std.
Deviation

3.025

4.495

8

1.730

2.12

2.828

Minimum

1

1

1

Maximum

8

10

5

Range

7

9

4

95%
Confidence
Interval for
Mean

2

Skewness

-1.045

0.434 1.184

0.434

.

.

Kurtosis

1.153

0.845

0.845

.

.

1.801

The average confidence level of women is 6.1 while men is lower - 3.93. the
other gender is the lowest: just 3
 In short, women seem to trust facebook information more than men.

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b. Correlation between the average friend number and the average
“like” number
Symmetric Measuresc
Asymp. Approx. Approx.
Value Std. Errora
Tb
Sig.
Ordinal by
Kendall's tau.471
.088
4.927
.000
Ordinal
b

Kendall's tau.415
.084
4.927
.000
c
Gamma
.680
.109
4.927
.000
N of Valid Cases
60

Average number of friends * Average number of Likes Crosstabulation
Average number of Likes
<20
20-100 100-500 > 500
Total
Average number <200
1
2
0
0
3
of friends
200-500
1
8
9
0

18
500-1000
0
2
7
3
12
>1000
0
4
12
11
27
Total
2
16
28
14
60

The average like number and the average friend number are 2 hierarchical criteria.
Thus, Gamma and Kendall’s tau coefficients are used to illustrate the correlation
of them.
Gamma = 0.68
Kendall’s tau = 0.571
Two coefficients are positive and close to 1.
It means 2 criteria have positive association and closely related to each other.
Which is “the more friends a person has, the more like numbers he/she gets”.
That is also expressed through the above table.
The average like number depends on the average friend number… On Facebook,

the number of likes demonstrates one person’s popularity. Therefore, many young
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people using Facebook have a tendency to make friends with more people in order
to receive more like numbers and thus show off their fame.

c. Age & Impact level of Facebook on yourself (correlate – Spearman)
Correlations
Age
Spearman's rho Age

Impact level of
Facebook on
yourself

Correlation
Coefficient
Sig. (2-tailed)
N
Correlation
Coefficient
Sig. (2-tailed)
N

Impact level of
Facebook on
yourself

1.000

.005

.
60

.970
60

.005

1.000

.970
60

.
60

The correlation coefficient: r = 0.05 ( it closes to 0 ) => correlated quite
unclosely. This shows that age and the impact of Facebook correlation, the age
is not significantly relative to the impact of Facebook.
HYPOTHESIS TESTS
a.
One sample T-test
Test the hypothesis: the average confidence level is equal to or greater than 6.
H0 : u >= u0
u0 = 6

H 1 : u < u0
This is the LHS test.
3.

One-Sample Statistics
Std.
N
Mean Deviation
Confidence level on
Facebook's
information

60

4.17

1.993

Std. Error
Mean
.257

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One-Sample Test
Test Value = 6

t
Confidence level
on Facebook's
information

-7.126

Sig. (2tailed)

Df
59

Mean
Difference

.000

-1.833

95% Confidence
Interval of the
Difference
Lower
Upper
-2.35

-1.32

t=-7.126 <0 and sig 1-tailed =0.0000 < a => reject H(0) , accept H(1)
Hence, the average confidence level is less than 6

From the above result, we can see that the confidence level on Facebook’s
infomation is low (it equals to 4.17)
b.

Paired Samples T-Tests

Test the hypothesis: the average confidence level is greater than or equal to the
average impact level
H(0 ) : u(x)-u(y) >=0
X : the average confidence level, Y : the average impact level
H(1) : u(x)-u(y) <0
This is the LHS test.

Paired Samples Statistics
Mean
Pair 1 Confidence level on
Facebook's
information
Impact level of
Facebook on
yourself

Std.
Deviation

N

Std. Error
Mean

4.17

60

1.993

.257

6.67

60

1.664

.215

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Paired Samples Correlations
Correlatio
N
n
Pair 1 Confidence level on
Facebook's
information &
60
.053

Impact level of
Facebook on
yourself

Sig.

.689

Paired Samples Test
Paired Differences
95% Confidence
Interval of the
Std.
Std.
Difference
Deviati Error
Mean
on
Mean Lower Upper
Pair 1 Confidence
level on
Facebook's
information
-2.500 2.528
- Impact
level of
Facebook on
yourself

.326

-3.153 -1.847

t

7.661

df

59

Sig.
(2tailed)

.000

t <0 , sig 1-tailed=0.0000 < a
=> reject H(0) , accept H(1)
So the average confidence level is less than the average impact level
Although young people are impacted by Facebook at high level, confidence
level on Facebook’s information is low

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III.

CONCLUSION

A large number of young people use Facebook.
Females seem to trust Facebook information more than males.
Many young people using Facebook tend to make friends with more people to
receive more like numbers and thus show off their fame.
The difference in ages is not relative to the impact of Facebook to people.
Although Facebook have the great impact level on young people, they seem not
be believe in it.
FACEBOOK HAS A GREAT INFLUENCE ON YOUNG PEOPLE!

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