Media
Violence and Self-Reported Hostility in Adolescents1,2
John
J. Janowiak, Ph.D.
Associate
Professor, Health Education
Department
of Curriculum and Instruction
Appalachian
State University
George
H. Olson, Ph.D.
Professor,
Statistics and Research
Department
of Leadership & Education Studies
Appalachian State University
Summary. -- The purpose of this study is to examine media viewing
and hostility in adolescents as well as their views about school violence. Few
studies have directly questioned adolescents about their hostility and
systematically examined conceptual aspects of anger among adolescents.
The study surveyed 527 middle school students from four school
districts in Western North Carolina on their media viewing and its
relationship to hostility (anger, aggression, & cynicism).
Findings support the hypothesis that viewing emotion-elicting media has
the capacity to provoke a variety of psychological patterns as measured by a
hostility survey.
1The North
Carolina Alliance for Athletics, Health, Physical Education, and Dance.
2001, 37(2), 22-30.
2Please address
correspondence and requests for reprints to John Janowiak, Ph.D., Department
of Curriculum and Instruction, Reich College of Education, Appalachian State
University, Boone, NC, 28608. E-Mail:
[email protected]
Media
Violence and Self-Reported Hostility in Adolescents
The
Surgeon General in the report of Health Objectives for the Nation stated,
“Violent behavior in many forms - exacts a huge toll on Americans’ mental
health (Fontanarosa, 1995). Violence
reaches all levels of society; however, young children, adolescents, and
minorities seem to be more susceptible. In
a longitudinal study of 4500 high school seniors more than half the sample had
engaged in violent behavior during the last year, and one in four had
committed predatory violence (Ellickson, 1997).
What has also increased over the past four years is the
multiple-victim, video-game-like shootings that led up to the Littleton,
Colorado school massacre. The one
thing that nearly every school shooting has in common is the chorus of parents
declaring that “I never thought it could happen here.”
At
a time when youth violence is declining, less than 1% of teen gun-related
deaths occur in schools. According
to the journal Criminal Justice Ethics, more than 99.99% of public
schools have never had a homicide of any kind, let alone a mass killing, yet
last year there were 16 violent deaths on U.S. campuses (Labi, 2001).
Collectively these tragedies have produced a national conversation
about the causes of school violence. According
to psychologists, adolescents are at a high risk for violence because of the
physical and psychological changes associated with puberty, and the transition
from childhood to adulthood. Among
the major developmental tasks of adolescents are (a) individuation from family
members through a narcissistic period of self-development; (b) development of
sexual identity often accompanied by extremes, such as the macho image for
boys; (c) development of moral character and personal value system through
experimentation; and (d) preparation for future work and responsibility
(Jessor & Jessor, 1977).
Adolescents may encounter more anger-producing situations such as
disappointment, embarrassment, and frustration than their adult counterparts.
The challenge for most adolescents is to learn how to recognize,
manage, and express anger in acceptable ways.
Teachers who confront angry students often fear that the potential for
assault is present. It has been
estimated that one in five teachers has been threatened by students (Simon,
1998). However, anger does not
always precede an assaultive episode. In
fact, the ability to verbalize anger often represents a positive sign of
control. Understanding the causes
of school violence is crucial to determining appropriate solutions.
One antecedent of
adolescent hostility can be attributed to viewing media violence.
Since the Littleton, Colorado shooting a chill has settled over
American movie makers on the subject of violence.
In response to the anti-Hollywood climate in Washington Republican
Congressman Henry Hyde blasted “toxically poisoning” entertainment by
introducing an amendment making it a crime to expose children to violent
movies. Hyde’s amendment failed
but the House recently passed a “sense of Congress” resolution accusing
the entertainment industry of including “pointless acts of brutality” in
movies and TV (Cohen, 1999).
A
report of the National Institute of Mental Health, Television and Behavior:
Ten Years of Scientific Progress and
Implications for the Eighties, documents
that exposure to television violence increases children’s physical
aggressiveness (Pearl, et al., 1982). The
critical period of exposure to television is during preadolescent childhood. Later variations in exposure, in adolescence and adulthood,
do not exert any additional effect (Milavsky, et al., 1982).
However, the aggression-enhancing effect of exposure to television is
chronic, extending into later adolescence and adulthood (Centerwall, 1989).
Method
Participants. The
sample of public schools was selected from the North Carolina Education
Directory. Six middle schools
(grades 6-8) from four school districts in Western North Carolina agreed to
participate in the study. Schools were chosen by instructional level (middle),
geographic region (West), school size (less than 300) and by percent of
minority enrollment (less than 25%). The
sample size was comprised of approximately 550 students. Accordingly, 550 survey packets were distributed.
Of these, 527 (96%) surveys were returned.
The subjects ranged in age from 11 to 14 years of age with 33.4% (176)
of the sample in sixth grade; 29.6% (156) in seventh grade; and 37% (195) in
eighth grade. Respondents
consisted of 51.8% (273) boys and 47.4% (250 ) girls.
A majority of the total sample (77.4%) was Caucasian with the remainder
being of Hispanic (13.6%) and African-American descent (4.9%).
Three-hundred and seventy-nine (72%) of the respondents reported living
in two-parent homes.
Instruments. The
survey packets consisted of two inventories: a Hostility Questionnaire
(HQ), and a Hostility Research Survey (HRS).
The HQ was a scale adapted from the Barefoot, et al. (1989) adaptation
of Cook and Medley’s MMPI-based Hostility Scale.
In the current study, the scale contained 46 items yielding scores on
three rationally constructed (see Barefoot, et al. 1989) factors of hostility:
a belief component, cynicism; an emotional component, anger, and a behavioral
component, aggression. The HRS
was a 44-item questionnaire designed to obtain information relative to
respondents’ age and other personal demographic characteristics, family
composition, movie and television viewing habits, video game play, school
extra-curricular activities, and incidence of violent behavior in school.
Research protocols were approved by the institutional review board at
Appalachian State University.
Procedure.
The surveys were
given to guidance counselors in the six schools who were trained for two days
in violence prevention education and one day in administering group surveys
prior to the study. The
counselors in turn administered the packets within the context of regularly
scheduled class periods. Classroom
teachers were not present during the administration of the surveys and
questionnaires. Students were
told that their non-participation would have no adverse effect on their class
standing or grade, but that by participating they would receive a gift
certificate to McDonalds restaurant. Special
efforts were made to reinforce the understanding that all responses would
remain confidential and anonymous. Adjacently
seated students were given alternate forms (either the survey or the
questionnaire first) in an attempt to prevent students from sharing responses
and to minimize the feeling that other subjects were looking at their
responses. The guidance counselors reported that students seemed to
treat the instruments seriously yet were relaxed during its administration.
Following administration and collection of the instruments, the
counselors returned them to the researchers.
Analysis. The authors were
interested in whether the three factors of the HQ could be considered
functions of the variables measured by the HRS.
Accordingly, the scores on three hostility factors were used as
dependent variables in a series of analyses of variance (or t tests) in
which the classifications defined by the permissible response categories of
the items in the survey served as independent variables. To keep the overall probability of a Type 1 error within
reasonable limits, we set this probability at _ = .1
and followed the Bonferroni procedure (see Stevens, 1992; p. 7) in dividing
this overall alpha level by 37, the total number of statistical tests computed
for each hostility factor. Hence,
for each test any result with a probability under the null hypothesis less
than .0027 was accepted as significant.
Results
Table
1 displays the frequencies and percentages of response to each choice for each
of the 37 items the researchers used from the Hostility Research Survey. For the study reported here, the researchers did not use
items that called for respondents to supply answers.
Furthermore, whenever the number of respondents selecting a particular
choice for an item was judged unreasonably low, the researchers combined that
response with an adjacent choice. For
example, in Item 5 the number of respondents selecting choices d and e was 24
and 11, respectively. These
frequencies were judged unacceptably low in relation to the numbers selecting
the other choices. Hence the
researchers combined these responses with that to choice c, resulting in a
response frequency of 125 to the choice, “two or more [brothers or
step-brothers].”
Of the 37 comparative
statistical tests computed, 10 yielded a significant difference among groups
in mean scores on Aggression, Anger, or Cynicism.
These 10 items are shown in Table 1, where the number of respondents,
means, and standard deviations are given for each group included in the
analysis.
Grade and sex.
As expected, boys evidenced higher scores on all three factors of the
Hostility Scale than did girls. This
was consistent with other studies. For
instance, Perry and Weiss (1987) found that parental disapproval of
expressions of anger was greater for girls than boys.
On the other hand, the finding that scores on both Aggression and
Cynicism were lower among seventh graders than among sixth graders and eighth
graders could not be explained.
Television viewing.
In the survey, items 9 through 21 and 29 through 32 queried students’
television viewing habits, the number of hours of TV they viewed per day or
week and who they watched it with. The
items covered television viewing in general and cartoon programs and Music
Television in particular. Only
items related to students’ viewing of Music Television or wrestling on
television yielded significant effects. Cynicism
scores were higher among those students indicating that they did watch Music
Television (Item 17). In the
minds of children and adolescents, television is a source of factual
information regarding how the world operates.
In fact, it has been demonstrated that infants as young as 14 months
observe and incorporate behaviors seen on television (Meltzoff, 1988).
In a survey of young male felons imprisoned for committing violent
crimes, 22 to 34 percent reported having consciously imitated
Table 1
Items Yielding Significant Differences Among Groups
in Mean Aggression, Anger, and/or Cynicism Scoresa
|
Aggression |
Anger |
Cynicism |
||||||
Group |
N |
MEAN |
SD |
N |
MEAN |
SD |
N |
MEAN |
SD |
Item
2. What is your grade level? |
|||||||||
6th Grade |
176 |
7.21 |
7.39 |
176 |
6.61 |
3.53 |
176 |
6.32 |
2.84 |
7th Grade |
143 |
6.82 |
3.27 |
143 |
6.84 |
2.93 |
143 |
5.96 |
2.71 |
8th Grade |
195 |
9.41 |
9.8 |
195 |
7.65 |
3.49 |
194 |
7.07 |
2.84 |
Item
4. What is your sex? |
|||||||||
Male |
265 |
9.17 |
9.64 |
265 |
7.5 |
3.41 |
265 |
6.99 |
2.91 |
Female |
245 |
6.58 |
4.51 |
245 |
6.58 |
3.29 |
244 |
5.89 |
2.66 |
Item
17. Do you watch MTV? |
|||||||||
Yes |
248 |
7.30 |
6.92 |
248 |
6.82 |
3.41 |
247 |
6.13 |
2.70 |
No |
242 |
8.06 |
4.47 |
242 |
7.44 |
3.32 |
242 |
6.90 |
2.89 |
Item
18. If you watch MTV, how many hours each day? |
|||||||||
Less than 1 hr. |
80 |
6.9 |
3.87 |
80 |
6.36 |
3.23 |
80 |
6.25 |
3.61 |
1 hr. |
79 |
9.34 |
10.76 |
79 |
7.16 |
3.03 |
79 |
6.78 |
3.05 |
2 hrs. |
52 |
8.79 |
3.55 |
52 |
8.33 |
3.55 |
52 |
7.46 |
3.03 |
3 hrs. |
12 |
9.42 |
3.61 |
12 |
8.5 |
3.23 |
12 |
7.5 |
2.4 |
4 hrs. or more |
26 |
8.69 |
3.27 |
26 |
9.12 |
2.83 |
26 |
7.23 |
3.02 |
Item
19. If you watch MTV, how many hours a week? |
|||||||||
Less than 1 hr. |
38 |
5.97 |
3.68 |
38 |
5.76 |
3.36 |
38 |
6.05 |
2.99 |
1 to 2 hrs. |
47 |
7.47 |
3.69 |
47 |
6.72 |
2.98 |
47 |
6.45 |
2.67 |
3 to 4 hrs. |
40 |
8.02 |
7.39 |
40 |
6.95 |
3.33 |
40 |
6.00 |
2.75 |
5 to 6 hrs. |
42 |
10.41 |
13.05 |
42 |
8.24 |
4.78 |
42 |
7.88 |
3.04 |
7 hrs. or more |
80 |
9.15 |
3.21 |
80 |
8.42 |
2.99 |
80 |
7.3 |
2.81 |
Table 1 Continued Significant
Differences Among Groups |
|||||||||
|
Aggression |
Anger |
Cynicism |
||||||
Group |
N |
MEAN |
SD |
N |
MEAN |
SD |
N |
MEAN |
SD |
Item
23. If you play video games, how many hours each day? |
|||||||||
Less than 1 hr. |
184 |
7.38 |
8.18 |
184 |
6.50 |
3.14 |
184 |
5.90 |
2.78 |
1 hr. |
106 |
7.78 |
8.90 |
106 |
6.56 |
3.00 |
106 |
6.24 |
2.88 |
2 hrs. |
68 |
9.78 |
10.54 |
68 |
7.03 |
3.52 |
68 |
6.74 |
2.60 |
3 hrs. |
38 |
6.16 |
3.72 |
38 |
8.79 |
3.11 |
38 |
6.84 |
2.83 |
4 hrs. or more |
42 |
8.74 |
3.73 |
42 |
8.45 |
3.44 |
42 |
7.60 |
3.14 |
Item
28. How often do you watch your favorite video? |
|||||||||
Once a week |
141 |
8.76 |
8.55 |
141 |
7.77 |
3.42 |
140 |
6.72 |
2.98 |
Every two weeks |
94 |
8.12 |
10.10 |
94 |
7.54 |
3.59 |
94 |
2.78 |
2.83 |
Once a month |
97 |
6.84 |
3.44 |
97 |
2.58 |
3.11 |
97 |
6.46 |
7.67 |
Item
29. Do you watch wrestling on TV? |
|||||||||
Yes |
175 |
9.09 |
7.78 |
175 |
7.70 |
3.32 |
175 |
6.98 |
2.88 |
No |
320 |
6.85 |
4.24 |
320 |
6.77 |
3.37 |
319 |
6.25 |
2.75 |
Item
30. If you watch wrestling on TV, how many hours a day? |
|||||||||
Less than 1 hr. |
88 |
9.59 |
10.74 |
88 |
6.74 |
3.43 |
88 |
6.53 |
3.09 |
1 hr. |
60 |
9.83 |
10.64 |
60 |
8.27 |
3.34 |
60 |
7.12 |
2.60 |
2 hrs. or more |
35 |
8.80 |
3.33 |
35 |
8.66 |
2.86 |
35 |
7.94 |
2.67 |
Item
38. Has another student threatened to hurt you during this school year? |
|||||||||
Yes |
182 |
8.09 |
3.78 |
182 |
7.83 |
3.28 |
182 |
6.91 |
2.85 |
No |
387 |
7.39 |
6.82 |
307 |
6.70 |
3.23 |
306 |
6.32 |
2.76 |
Item
40. How often have you been threatened by another student this year? |
|||||||||
Not at all |
292 |
7.03 |
6.05 |
292 |
6.66 |
3.32 |
291 |
6.26 |
2.75 |
Once |
90 |
7.72 |
5.53 |
90 |
7.78 |
3.10 |
90 |
6.71 |
2.77 |
Twice |
58 |
11.29 |
15.48 |
58 |
7.09 |
3.76 |
58 |
6.72 |
3.24 |
3 or more times |
63 |
8.81 |
3.16 |
63 |
8.02 |
3.49 |
63 |
7.22 |
2.73 |
Table
1 Continued |
|||||||||
Significant
Differences Among Groups |
|||||||||
|
Aggression |
Anger |
Cynicism |
||||||
Group |
N |
MEAN |
SD |
N |
MEAN |
SD |
N |
MEAN |
SD |
Item
41. [With respect to violence], what worries you most during the school
day? |
|||||||||
Grades |
318 |
8.13 |
9.36 |
318 |
6.73 |
3.25 |
318 |
6.14 |
2.84 |
Kids liking me |
46 |
8.26 |
3.49 |
46 |
8.13 |
3.76 |
46 |
6.87 |
2.54 |
Physical appear. |
49 |
9.55 |
3.54 |
49 |
8.65 |
3.43 |
48 |
8.42 |
2.41 |
Family problems |
38 |
6.34 |
3.43 |
38 |
6.45 |
3.38 |
38 |
6.87 |
2.17 |
Violence |
41 |
6.85 |
3.28 |
41 |
7.12 |
2.99 |
41 |
6.56 |
2.90 |
aItalicized bold entries represent means that are
significantly different at p < .0027
crime techniques
learned from viewing television programs (Heller and Polsky, 1976).
Among those students in the study indicating that they did watch Music
Television, scores on the Anger factor increased with the number of hours
watched per day and per week (Items 18 and 19).
Item 29 asked students if they watched wrestling on TV.
About a third of the respondents, primarily boys, indicated that they
did. On average, scores on
Aggression were significantly higher for this group than for those who did not
watch wrestling on television. Furthermore, Anger scores increased with the increase in the
number of hours of wrestling these students watched per day (Item 30).
In a case study of nine elementary schools Lemish (1998) found that
girls were much less frequent viewers of TV wrestling in comparison to boys.
School fights were found to reach their peak among 69% of the boys who
claimed that they viewed wrestling every week.
Video
games.
Items 22 through 26 addressed students’ playing of video games.
Eighty-two percent of the students responding to the survey indicated
that they did play video games (Item 22).
The Hostility scores for these students were not significantly
different from the 18 percent of students who apparently did not play video
games. Among those reporting that
they played video games, the expression of anger as measured by the Hostility
Questionnaire increased in proportion to the number of hours per day
respondents reported playing video games (Item 23).
Playing with friends or with family members (Item 25) was not related
to scores on the Hostility factors.
A
recent content analysis study found that violence was the major theme of 40 of
the 47 most popular video games (Proveno, 1991).
Funk reported a significant relationship between playing violent video
games and aggressive behavior in younger children (Funk, 1990).
Reports from the mid-1980s indicate playing times ranging from an
average of about two hours per day (Ellis, 1983) to about two hours per week
(Creasey & Myers,1986), with boys generally playing much more than girls.
If the frequency of video game playing remains high then related
issues, such as sex and age differences, should be studied further.
The results here indicate that video game playing is a relatively
high-frequency activity among middle school adolescents which may play an
important role in influencing hostility due to the violent content of many
video games.
Movie
videos.
Item 27 asked students if they watched videos.
Nearly 90 percent indicated that they did. Among these respondents, scores on the Anger subscale were
considerably higher for those who watched videos as often as once a week or
every two weeks than for those who watched videos once a month or less (Item
28).
Participation
in sports and extracurricular activities.
Items 33 and 34 asked students if they participated in organized sports
or extracurricular activities, either in school or outside school.
Fifty-nine percent indicated that they participated in sports and 52
percent reported that they participated in extracurricular activities. However, participation was unrelated to any of the scores on
Hostility.
Involvement in violent activities at school. Several
items (35 through 40) inquired into students’ personal involvement, either
directly or indirectly, in violent activities in school during the previous
year. Two-thirds of the students
responded that they had not been involved in any fights during the year (Item
35), and 60 percent indicated that they had not been threatened by another
student (Item 38). Of greater
note, perhaps, is that one-third of the students reported that they had been
threatened; 22 percent reported that another student had threatened to hurt
them with a weapon. Involvement
in violent activities at school was related to scores on the Hostility factors
in terms of whether or not students had been threatened by other students
(Item 38) and the frequency with which they had been threatened (Item 40).
Students who had been threatened had higher factor scores on Anger.
The effect of incidence of threatening behavior on Aggression scores
was not clear. Students reporting
being threatened twice during the year scored higher on this factor than
students who reported having been threatened once or not at all, or three or
more times.
Feelings
of safety from violence.
The final four items on the Hostility Survey inquired into students’
perception of safety from violence, at school or in the community. The first of these (Item 41) asked the students what worried
them most during the school day. By
a wide margin, what worried them the most was getting good grades in school
(62%). Worries over their
physical appearance or whether other students liked them were ranked as a
distant second and third (9.3% and 8.7%, respectively).
Few (7.8%) of the students picked school violence as a major worry
(7.8%). On the other hand, scores
on both the Anger and Cynicism scales of the Hostility Survey could be
differentiated according to the type of concern students tended to worry most
about. Scores on the Anger
component were highest for those students who worried most about grades and
physical appearance and lowest for those worrying about family problems and
violence. As for Cynicism, scores
were highest among those students who worried most about physical appearance.
There was little difference among students in the other
classifications.
Whereas
the Aggression, Anger, and Cynicism scales measured latent components of
Hostility, the items in the survey dealing with violent activities in school
could be viewed as manifest expressions of violent behavior.
Because manifest expressions of violence have been associated, in the
literature, with the variables measured in this study, we examined the
relationship between incidence of watching Music Television and wrestling on
television, playing video games, and watching video movies on the one hand,
and whether or not students were involved in fights on the other.
Frequencies and percentages are given in Table 2.
Table
2 Crosstabulations
of Involvement in Fights This Year and TV and Video Game Habits |
|||||||||||
Item
35. Have you been involved in fights this year? |
|||||||||||
|
|
|
|
Involved in fights |
|
Not Involved in fights |
|
Total |
|||
|
n |
% |
|
n |
% |
|
n |
% |
|||
Item 17. Do you watch MTV?* |
|||||||||||
Yes |
96 |
40.17 |
|
143 |
59.83 |
|
239 |
100 |
|||
No |
59 |
24.08 |
|
186 |
75.92 |
|
245 |
100 |
|||
Item 22. Do you play video games?** |
|||||||||||
Yes |
139 |
33.82 |
|
272 |
66.18 |
|
411 |
100 |
|||
No |
20 |
22.99 |
|
67 |
77.01 |
|
87 |
100 |
|||
Item 27. Do you watch videotaped movies? |
|||||||||||
Yes |
144 |
31.79 |
|
309 |
68.21 |
|
453 |
100 |
|||
No |
12 |
32.43 |
|
25 |
67.57 |
|
37 |
100 |
|||
Item 29. Do you watch wrestling on TV?*** |
|||||||||||
Yes |
87 |
50.29 |
|
86 |
49.71 |
|
173 |
100 |
|||
No |
69 |
21.97 |
|
245 |
78.03 |
|
314 |
100 |
*χ2
= 14.38; df = 1; p < .001
**χ2
= 3.88; df = 1; p < .05
***χ2
= 41.074; df = 1; p < .001
Having
been involved in at least one fight during the past year was significantly
related to whether the students watched Music Television, played video games,
or watched wrestling on television.
Discussion
The
purpose of this study was to examine media viewing and measures of hostility
in adolescents as well as their views about school violence. Furthermore,
because discussions about children’s exposure to television violence have
become part of the current public health agenda, we were also concerned with
the context of media viewing.
Few studies have directly questioned adolescents about their hostility
and systematically examined conceptual aspects of anger among adolescents.
In our study, we followed Williams & Williams (1993) in defining
cynicism as a mistrusting attitude of others’ motives, anger as an emotional
reaction to the expectation of others’ unacceptable behavior, and aggression
as the behavioral tendency to react aggressively to others’ unacceptable
behaviors. All three of these factors are components of hostility.
A hostile person, then, is a cynical person who mistrusts the actions
of others, tends to become angry when perceiving others’ behaviors as
unacceptable, and is moved toward aggressive behavior when taking action
against the perceived unacceptable behaviors of others.
Our study supported the findings of others that hostility among
adolescents is predominantly a male trait.
Boys in our sample scored higher on all three hostility components than
did girls. We also found that
most of our adolescents engaged in video game playing. Among this group of youngsters, scores on the anger
component increased with number of hours played.
We found it interesting that about a third of those students reporting
that they regularly played video games also reported having been involved in
fights at school. Video game
playing for some adolescents may be a way of handling stress. However, excessive amounts of game play has the potential of
negatively affecting psychological health and increasing aggressive behavior.
Studies have found that more aggressive children watch more television,
prefer and play more violent video games and perceive media violence as more
real than less aggressive youngsters (“America the Violent,” 1995).
We found greater amounts of cynicism among those students who watched
Music Television. Also, scores on
the anger component increased with number of Music Television hours watched
per day and per week. A
surprising 40% of students who reported watching Music Television also
reported having been involved in fights as compared to those who did not watch
Music Television. Trostle (1986)
noted that rock music videos feature many themes but none more obtrusive than
that of adolescent defiance of freedom-curtailing impositions by persons or
institutions in power. The
lyrical, musical expression and vivid imagery of protest and defiance may be
related to the higher degree of cynicism among adolescent viewers in our
study. A content analysis of Music Television provides further
evidence that video aggression is usually perpetrated by older adults whereas
adolescents tend to be portrayed as victims who heroically stand up against
their oppressors (Trostle, 1986).
One-half of the students (all males) in our sample who reported that
they routinely watched wrestling on TV also reported having been involved in
school fights. Their scores on
the aggression component where higher than those for students who did not
watch wrestling. Research
examining gender as a possible intervening variable in the process of violent
television effects suggests that girls have less preference for violent
television programs than boys and they are frightened by it more easily and
they express less approval of it (Van Evra, 1990). The
absence of aggressive female models for identification and imitation in
television, video and computer games, and girls’ early socialization into
normative female behaviors and tastes are offered as possible explanations for
these differences. Our findings
support previous research that males are more susceptible to aggressive male
models and to violence which legitimize the masculine world view of “the
toughest guy wins” (Sabo & Jansen, 1990).
In
our study, students from one- and two-parent homes did not differ in terms of
their Hostility scores. Other
studies have found conflicting findings in this area (Matsueda & Heimer,
1987). Selnow (1987) has suggested that parent/child relationships
may be more important than the actual number of parents who live at the home
with the child.
In our study nearly 90 percent of the students reported that they
watched movie videos at home. Furthermore,
their scores on the Anger component of the hostility scale tended to increase
in proportion to their frequency of viewing.
Hansen & Hansen (1990) have reported that “visual violence”,
that includes graphic physical abuse scenes, viewed in rock music videos
affects anger as well as six other emotional states.
On the basis of social support theory we hypothesized that participation
in sports or extracurricular activities would result in lower hostility
scores. Our failure to confirm
this relationship might have been due to inadequacies in our instruments.
More focused research in the area of physical education suggests that
participation in athletics improves the general well-being of adolescents
(Davis & Kathryn, 1994).
Our main interest concerned violence in school. Accordingly, we included in our survey questions concerning school fighting, threatening behavior (with and without weapons), and perceptions of safety in school and in the community. We found it interesting that students who had been threatened had higher scores on the anger component. We also specifically asked students, “What worries you most during the school day?” Nearly two-thirds responded that getting good grades concerned them most, while worries over physical appearance, being liked by other students, and family problems were rated lower in importance. Only eight percent indicated that school violence was a major concern. These findings were not surprising since the incidence of violence in rural West North Carolina schools is appreciably lower than that reported in larger urban areas of the state. In general, scores on the anger component tended to be higher among students who worried most about physical appearance and grades, and lower among students who worried most about family problems and violence
Our findings tend to support the hypothesis that viewing
emotion-elicting media has the capacity to provoke a variety of psychological
patterns as measured by the hostility survey.
An escalation of video game playing, Music Television viewing, and
other factors may contribute to hostility and fighting in school. Future studies should examine the predictive validity of the
hostility questionnaire in relation to media viewing and school violence.
Hostility continues to be a complex concept with a variety of
determinants. Learning to
acknowledge and manage hostility, as taught in K-12 violence education
curriculums, is recommended to help prevent violent behavior.
The challenge for adults who influence adolescents is to encourage them
in the life-long process of learning to manage their hostility.
REFERENCES
America the violent. (1995, July). American Medical News, 4,
1-2.
Barefoot,
J., Dodge, K., Peterson, B., Dahlstrom, G., & Williams, R. (1989).
The Cook-Medley hostility scale: item content and ability to predict
survival. Psychosomatic Medicine, 51, 46-57.
Centerwall,
B. (1989). Exposure to television as a risk factor for violence. American
Journal of Epidemiology. 129,
643-652.
Cohen, A. (1999, June 28). Bullets over hollywood. Time, 153(25),
64-65.
Creasey, G., & Myers,
B. (1986). Video games and children: effects on leisure activities, schoolwork,
and peer involvement. Merrill-Palmer, 32, 251-262.
Davis, L.
& Kathryn, R. (1994). North Carolina children and youth fitness study. Journal
of Physical Education, Recreation & Dance, 65(8), 4-12.
Ellickson,
P. (1997). Profiles of violent youth: substance use and other concurrent
problems. American Journal of Public Health, 87(6), 985-991.
Ellis, G. (1983). Youth in the electronic environment: an introduction. Youth
Sociology, 15, 3-12.
Fontanarosa, P. (1995).
The unrelenting epidemic of violence in America. Journal of the American Medical Association, 273(22),
10-36.
Funk, J.
(1990). Video games: benign or malignant?
Journal of Developmental Behavioral Pediatrics,
13, 53-54.
Hansen,
C., & Hansen, R. (1990). The influence of sex and violence on the appeal
of rock music videos. Communication
Research, 17(2), 212-234.
Heller, M., Polsky, S.
(1976). Studies in violence and television. New York: American Broadcasting Company.
Jessor,
R. & Jessor, S. (1977). Problem behavior and psychosocial development: a
study of youth. New York:
Academic.
Labi, N. (2001). Let Bullies Beware. Time , 157(13),
46-47.
Lemish,
D. (1998). Girls can wrestle too: gender differences in the consumption of a
television wrestling series.
Sex Roles, 38, 833-849.
Matsueda,
R., & Heimer, K. (1987). Race, family structure, and delinquency: a test of
differential association and social control theories.
American Sociological Review, 52, 826-840.
Meltzoff,
A. (1988). Imitation of televised models by infants. Child Development, 59,
1221- 1229.
Milavsky,
J., Kessler, R., Stipp, H., & Rubens, W. (1982). Television and
aggression: a panel study.
Orlando, Fla: Academic Press Inc.
Pearl,
D., Bouthilet, L., Lazar, J., eds. (1982). Television and behavior: ten years
of scientific progress and
implications for the eighties. Rockville,
Md: National Institute of Mental Health.
Perry, D.
& Weiss, R. (1987). Sex differences in the consequences that children
anticipate for
aggression. Developmental
Psychology, 25(2), 312-317.
Proveno, E. (1991). Video kids: making sense of Nintendo.
Cambridge, MA: Harvard Press.
Sabo,
D., & Jansen, S. (1990). Images
of men in sport media: the social reproduction of order.
In S. Craig (Ed.), Men, masculinity, and the media.
Newsbury Park, CA: Sage Pub.
Selnow,
G. (1987). Parent-child
relationships and single and two parent families: implications for
substance usage. Journal of Drug
Education, 17(4), 315-325.
Simon,
R., (1998). Prospective psychological, interpersonal, and behavioral predictors
of handgun carrying among adolescents.
Journal of American Medical Association, 88(6), 960-963.
Stevens, J. (1992).
Applied multivariate statistics for social sciences. Hillsdale, NJ:
Erlbaum.
Trostle,
L. (1986). Nihilistic adolescents, heavy metal rock music, and paranormal beliefs.
Psychological Reports, 59, 610.
Van
Evra, J. (1990). Television and child development.
Hillsdale, NJ: Lawrence Erlbaum
Associates.
Williams, R., & Williams, V. (1993). Anger kills.
New York: Random House.