Deviant Behavior of PCT Group in High School Students (%, N=448)


It can even distort the views it holds. (PVS GV01)

Meanwhile, from the perspective of a high school student, the existence of the informal group that he or she is participating in is completely “official” and legitimate.

Most of the activities I participate in in groups are very formal and appropriate. (PVS HS09)

Therefore, clarifying the deviant behaviors of high school students with PCT groups, in addition to activities that are consistent with current social norms as presented in chapter 3, will contribute to narrowing the gap in understanding the nature of the influence of PCT groups on high school students and towards identifying the possibilities of exploiting the positive effects that PCT groups can bring.

40

37.9

35

33.5

31.3

30

25

19.4

20

16.3

14.3

15

13.4

12.9

9.2

With the nine deviant behaviors investigated within the scope of this study, the survey results in Figure 4.1 provide a general description of the level of participation in such behaviors among the PCT group of high school students.


10


5

0


Are not

Go by bus

Crossing the light

Play cards

Ride a motorbike

Join

Picking flowers

Fight

Occupy


wear a hat

three

red

eat money

spleen,

cheer racing

break branch

each other

keep left


insurance




fight

left car

public place

school

magic






hammock

permission

add


of people










other

Maybe you are interested!

Deviant Behavior of PCT Group in High School Students (%, N=448)

Figure 4.1. Deviant behavior of PCT group in high school students (%, n=448)

(Results of the author's sociological investigation)

Overall, 49.6% of high school students surveyed reported engaging in at least one of the nine types of deviant behavior with the PCT group, regardless of frequency.


implementation. In which the participation rate of surveyed deviant behaviors of high school students along with the PCT group ranges from 9.2% to 37.9%. These are significant rates, although not too large, when paying attention to the high school students in the survey are all from schools in the inner city of Hanoi with care and learning conditions that are of great concern to families and schools. However, more careful considerations of each type of deviant behavior and the context in which it occurs in reality will be necessary to have accurate and appropriate behavioral and intervention directions.

Looking specifically at the nine surveyed deviant behaviors, the three prominent deviant behaviors with the highest confirmed rates of implementation are risky behaviors in traffic participation, including not wearing a helmet (37.9%), riding a three-wheeled vehicle (33.5%), and running a red light (31.3%). These are also the most common violations in traffic participation of people in Vietnam. Two other violations of road traffic laws with an average confirmed occurrence rate are swerving and weaving (16.3%) and participating in cheering on illegal racing (14.3%). While legal education and propaganda on this topic have been strongly deployed to society and in schools in particular, this shows that efforts to raise awareness and change behavior are a long-term process and require continued strengthening.

The three deviant behaviors that occurred less frequently among the PCT groups of high school students in this study were picking flowers and breaking branches in public (13.4%), fighting at school (12.9%), and illegally taking possession of other people's things (9.2%). While the behavior of gambling for money with the participation of high school students in the PCT group had a higher occurrence rate (19.4%).

In addition, the fact that a student has been suspended from school is considered an indicator of deviant behavior, although the criteria for the same informal group were not confirmed in this case. In the entire sample, 29 cases reported having been suspended from school, accounting for 6.5%, with 4 groups of reasons stated (Figure 4.2). Of the 4 groups of reasons, repeatedly dropping out of school was the most common reason (41.4%), while repeated traffic violations occurred in a small proportion (6.9%).



100%

90%

80%

70%

60%

50%

40%

30%

20%

10%

0%

6.5

6.9

24.1


27.6

93.5

41.4

Suspension Status Reasons for Suspension (n=448) (n=29)

Never Ever

Skipping school many times Violating exam regulations

Fight2 Repeated traffic violations


Figure 4.2. Status and Reasons for Suspension of High School Students (%, n=448)

(Results of the author's sociological investigation)

Putting the status of having deviant behavior with PCT group of high school students in relation to demographic characteristics, Table 4.1 shows that only family living standard is significantly and meaningfully related (p=0.000; Cramers'V=0.209) to the status of having any deviant behavior with PCT group. Meanwhile, gender and grade level do not reflect any statistically significant relationship on this.

More specifically, regarding the relationship between family living standards and participation in deviant behavior with the PCT group of high school students, we found that the rate of high school students with deviant behavior with the PCT group was the lowest at 38.8% for students from families with a fairly good living standard. On the contrary, the cases of students from families with living standards at the two opposite extremes of rich and poor, near-poor had the highest (66.7%) and second highest (64.5%) rates of participation in deviant behavior with the PCT group, respectively.


Table 4.1. Deviant behavior in the same PCT group of high school students according to Gender, Family living standard, grade level



Characteristics of high school students

Deviant behavior with PCT group


Inspection

Quantity

total

Are not

Have

Number

quantity

Proportion

%

Number

quantity

Proportion

%

Shared

448

226

50.4

222

49.6

Student Gender

Male


219


110


50.2


109


49.8

X 2 =0.008;

p=0.928

Female

229

116

50.7

113

49.3

Family living standards

Rich


6


2


33.3


4


66.7

p=0.000***; Cramer's V

=0.209

Rather

214

131

61.2

83

38.8

Medium

197

82

41.6

115

58.4

Poor, near poor

31

11

35.5

20

64.5

Grade block

Block 10


144


71


49.3


73


50.7

X 2 =2.012;

p=0.366

Block 11

151

83

55.0

68

45.0

Block 12

153

72

47.1

81

52.9

***: statistically significant at 99% level.

(Results of the author's sociological investigation)


While the living conditions of wealthy families can disorient children by the abundance and deviant behavior and the PCT group that children easily seek out as a way to explore and affirm themselves, difficult family economic conditions can also put children in an environment with close contact with people with deviant behavior to overcome challenges or seek new opportunities [41]. This also reminds the authors [6] of the two possibilities that form the negative influence of the family environment on the behavior of adolescents, either lack of attention or too much indulgence.

In terms of the relationship with the attributes of the PCT group, the deviant behavior of high school students with the PCT group showed a relatively strong correlation with statistical significance (p=0.000) in all aspects of group type (Cramers'V=0.374), group participation purpose (Cramers'V=0.336), group rules (Cramers'V=0.255), and the level of group interaction with other groups (Cramers'V=0.248).


Table 4.2. Deviant behavior of high school students in the same PCT group according to PCT group attributes



Properties of PCT group

Deviant behavior with PCT group


Inspection

Quantity

total

Are not

Have

Number

quantity

Proportion

%

Number

quantity

Proportion

%

Shared

448

226

50.4

222

49.6

Group type

Same environment

living


126


40


31.7


86


68.3

p=0.000***; Cramer's V =0.374

Same benefit

101

43

42.6

58

57.4

Same faith

101

47

46.5

54

53.5

Same interests

120

96

80.0

24

20.0

Purpose of joining the group

Help, exchange


211


91


43.1


120


56.9

p=0.000***; Cramer's V =0.336

Assert yourself

104

84

80.8

20

19.2

Find the benefits

133

51

38.3

82

61.7

Group Rules

About the role of leader

group


56


19


33.9


37


66.1

p=0.000***; Cramer's V =0.255

About interaction in

group

240

104

43.3

136

56.7

About external interactions

group

152

103

67.8

49

32.2

The extent to which groups interact with other groups

Never


43


27


62.8


16


37.2

p=0.000***; Cramer's V =0.248

Seldom

54

26

48.1

28

51.9

Sometimes

247

143

57.9

104

42.1

Frequent

104

30

28.8

74

71.2

***: statistically significant at 99% level.

(Results of the author's sociological investigation)


In terms of group type, the confirmation rate of high school students with deviant behavior in the same PCT group is the highest with groups in the same living environment (68.3%) which is not much different from the group with the same interests or same beliefs. However, the group with the same interests has a much lower rate (20.0%). Meanwhile, for the purpose of joining the group, the lowest rate of 19.2% belongs to high school students with deviant behavior in the same PCT group with the purpose of joining the group to affirm themselves.


close; and the highest level was confirmed with high school students who joined PCT groups to seek benefits (61.7%). Having deviant behavior with PCT groups was also confirmed by high school students most in the case of groups with regulations on the role of the group leader (66.1%) and lowest in groups with regulations on interactions outside the group (32.2%). Finally, PCT groups that regularly interacted with other groups also had the highest rate of participating in deviant behavior with PCT groups (71.2%); on the contrary, PCT groups that never interacted with other groups had this rate only half (37.2%). Thus, the type of group with the same interests, with members participating to assert themselves, with regulations on interactions outside the group and not interacting with other groups are the characteristics of PCT groups in which there is the lowest rate of members participating in deviant behavior.


4.2. Some forms of deviant behavior of informal groups in high school students

With the 9 deviant behaviors performed by informal groups of high school students presented above, we classified them into three forms to have a deeper analytical perspective, including risky behaviors when participating in road traffic, risky behaviors to social order, and school violence.

With 49.6% of the research sample being high school students participating in one of the 9 deviant behaviors mentioned with the PCT group, the participation status according to each type of deviant behavior has a significant difference (Figure 4.3). The type of risky behavior when participating in road traffic includes the behaviors of riding a three-wheeler, running a red light, weaving, cheering on racing, not wearing a helmet, which has a similar occurrence rate (46.4%) to the parameters of deviant behavior in general, while school violence (fighting at school) appeared with 12.9% of the students participating in the survey. The type of risky behavior for social order includes the behaviors of gambling for money, picking flowers and breaking branches in public places, illegally occupying other people's property, with nearly 1/4 of the survey sample (23.4%) saying that they had participated in the PCT group.



School violence

12.9

Risky behavior to social order

23.4

Risky behavior when participating in traffic

46.4

Deviant behavior (general)

49.6

0

5 10 15 20 25 30 35 40 45 50


Figure 4.3. Types of deviant behavior of PCT group in high school students (%, n=448)

(Results of the author's sociological investigation)

4.2.1. Risky behavior when participating in road traffic with informal groups of high school students

It can be said that teenagers are one of the main forces participating in road traffic. In terms of traffic participation, teenagers often have risky behaviors when participating in traffic such as speeding, running red lights, not wearing helmets... at a high level. Such risky behaviors when participating in road traffic are conscious actions, dangerous and risky when traveling on road traffic routes, threatening the physical and mental health, endangering the lives of the drivers themselves and those around them while participating in traffic.

In this study, on the one hand, risky traffic behavior is the most common among the three types of deviant behavior in the same group of PCT of high school students as mentioned above. The study by Fergusson, Swain – Campbell & Horwood (2003) also showed that 90% of adolescents have ever performed dangerous driving [19].


Table 4.3. Risky behaviors of PCT group when participating in road traffic

based on demographic characteristics of high school students



Characteristics of high school students

Risky behavior when TGGT with PCT group


Inspection

Total quantity

Are not

Have

Number

quantity

Proportion

%

Number

quantity

Proportion

%

Shared

448

240

53.6

208

46.4

Student Gender

Male


219


119


54.3


100


45.7

X 2 =0.101;

p=0.750

Female

229

121

52.8

108

47.2

Family living standards

Rich


6


3


50.0


3


50.0

p=0.000***; Cramer's V

=0.212

Rather

214

138

64.5

76

35.5

Medium

197

87

44.2

110

55.8

Poor, near

poor

31

12

38.7

19

61.3

Grade block

Block 10


144


76


52.8


68


47.2

X 2 =0.717;

p=0.699

Block 11

151

85

56.3

66

43.7

Block 12

153

79

51.6

74

48.4

***: statistically significant at 99% level.

(Results of the author's sociological investigation)


On the other hand, the relationship between this deviation and the demographic characteristics of high school students (Table 4.3) showed no significant differences in the relationship with gender and grade level. This is a point different from the suggestion made in the study of Furman, Christine & Brennan [56], that in the presence of peers, adolescents take more risks, such as male adolescents driving faster in the presence of other male adolescents. Or as in a study in Hanoi with 170 adolescents (aged 16-24) found a significant difference in the frequency of performing risky behaviors between the male and female target groups with a tendency for males to have more risky behaviors when participating in traffic than females: from texting; reading messages; listening to calls; driving in the wrong lane; speeding; not wearing a helmet to using stimulants [19].

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