EFFECTS OF FACEBOOK TO THE YOUTH

Ảnh hưởng của Facebook với giới trẻ Bài viết là nghiên cứu về mức độ ảnh hưởng của Facebook đối với giới trẻ. Sử dụng phần mềm SPSS để phân tích dữ liệu. Bài viết này là nghiên cứu phục vụ cho môn Thống kê Tin học được trình bày bằng tiếng Anh

EFFECTS OF FACEBOOK TO THE YOUTH

- 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

1. Description:

a. Gender:

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

Percent

b. Age

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

Age

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.

There are 11 pupils, constituting 18.3%

There are 8 graduates, constituting 13.3%

University students are the most with 68.3%

=> The entity group that is examined most is University student.

d. Having Facebook accounts:

Have a Facebook account Frequency Percent Valid Percent Cumulative Percent

59 over 60 people surveyed have a Facebook account

 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

2. Correlation

a Correlation between gender and confidence level :

There is a marked difference between males and females

Description

Gender Female Male Other

Stat. Std Error Stat. Std Error Stat. Std Error Confidence

level on

Facebook's

information

95%

Confidence Interval for Mean

Lower

Upper

5% Trimmed

Std

Skewness -1.045 0.434 1.184 0.434 . .

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

b Correlation between the average friend number and the average

“like” number

Symmetric Measures c

Value

Asymp

Std Errora

Approx

Tb

Approx

Sig

Ordinal by

Ordinal

Kendall's

Kendall's

Average number of friends * Average number of Likes Crosstabulation

Average number of Likes

Total

<20 20-100 100-500 > 500 Average number

of friends

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

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

Impact level of Facebook on yourself

Impact level of Facebook on yourself

Correlation

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

3. 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

H1 : u < u0

This is the LHS test

One-Sample Statistics

Std

Deviation

Std Error Mean Confidence level on

Facebook's

information

One-Sample Test

Test Value = 6

Sig (2-tailed)

Mean Difference

95% Confidence Interval of the Difference

Confidence level

on Facebook's

information

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)

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

Std

Deviation

Std Error Mean Pair 1 Confidence level on

Facebook's

information

Impact level of

Facebook on

yourself

Paired Samples Correlations

N

Correlatio

Pair 1 Confidence level on

Facebook's

information &

Impact level of

Facebook on

yourself

Paired Samples Test

Paired Differences

Sig (2-tailed) Mean

Std

Deviati on

Std

Error Mean

95% Confidence Interval of the Difference Lower Upper Pair 1 Confidence

level on

Facebook's

information

- Impact

level of

Facebook on

yourself

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

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!