Effects of Music on Mood, and Aggression of At-Risk Adolescents
Erin
Bogle
In the current research project,
testing was done to see if music could significantly alter moods of people.
The question arose while reading research presented at the 1996 annual meeting
of the American Psychological Association. Newcomb (1996) looked at relationships
between sex, drugs, and rock and roll music and concluded that no relationship
exists between music and sex or drugs. However, the experiment that sparked
the idea for the current study was about heavy metal rock music in relation
to suicide (Scheel, 1996). The findings from that project were that the students
that listened to rock had a higher chance of talking about and/or committing
suicide. However, it is not clear whether the music caused the kids to be more
suicidal, or the fact that they are more suicidal that made them listen to that
genre of music. If only correlations are researched, we cannot know what is
causing the effect on behavior. Experimental research that manipulates the variable
of music is needed.
Other previous studies were also used in forming my project idea. One study
surveyed people about their moods after listening to music happy and sad music
(Lewis, Dember, Scheff, & Radenhausen, 1995). Another study found that people
rate depressing paintings as happy when they look at them while listening to
happy music (Stratton, & Zalanowski, 1989). No studies were found that experimentally
measured mood after listening to different types of music. Therefore, the current
study was conceived.
Delinquency has many causes. Acting out, deviancy, and problem behaviors are
some of the terms used to describe delinquent behavior (Aunola, Stattin, &
Nurmi, 2000). Verbal aggression, hostility, and anger have been linked to acting
out behavior, which often results in low self-esteem (Aunola et al., 2000).
Nagin and Trembaly (1999) claim that the main behavior leading to delinquency
is physical aggression. Physical aggression is a male-dominated trait and can
become a part of ones personality at a very young age (Renfrew, 1997).
Sheaffer (2001) tested several variables in delinquent and normal
adolescents including aggression, self-esteem, depression, and time perspective.
He found that the physical aggression and anger scores were significantly higher
in delinquent adolescents than in a normal control group. No other measures
were found to be different between the two groups. No experimental variables
were used.
After reviewing previous research, it was clear that the exact relationship
between anger, aggression, and music has not been adequately researched. It
was reasoned that if a group of students who are known to have anger management
problems were exposed to different kinds of music, the relationship between
music and aggression might be clearer. Measurements could be taken on their
overall ability to manage their aggression so that they could be compared to
normal students. Different types of music could be used with these
students. The effects on their positive and negative moods could be measured.
Comparison between the moods could help us understand the relationship, if any,
between moods, music, and aggression. It was difficult to clearly predict the
results because some research indicated that music would not affect moods (null
hypothesis) whereas, other research indicated that it would affect moods (research
hypothesis).
Method
Participants
An experiment done in Australia on the development of delinquent behavior
in overly aggressive children (Bor, Najman, OCallaghan, Williams, &
Anstey, 2001). showed how aggression in youth can foreshadow delinquency. Research
presented by Sheaffer (2001) showed that delinquent adolescents were different
from the normal control group on their aggression. Therefore, it was decided
to use a school in the area that had delinquent students. If these students
were more aggressive to begin with, as indicated by Sheaffer, these particular
kids would probably be more likely to be set off by music than normal
adolescents..
The school chosen with delinquent at-risk adolescents was the About Face
Academy, which is a military-based alternative program for 6th through 9th
grade students who have had continuous discipline problems. The academy specializes
in behavior modification and offers a positive alternative for at-risk students
in classes averaging only 10 to 15 students. Altogether there were twenty-seven
students from About Face Academy who participated in the research from
four different classes.
Students from Classen School of Advanced Studies were used for two reasons.
First, 30 students at Classen participated in a pilot study to select appropriate
music for the current study. Next, anger and aggression data from Classen students,
which had previously been gathered by another experimenter (Sheaffer, 2001)
was used. This was used to compare to the anger and aggression data collected
in this study from the at-risk adolescents at About Face Academy.
All participants were treated according to the guidelines of the American
Psychological Association (APA, 2002) for ethical treatment of human participants.
The participants were told the purpose of the study and were thanked for their
participation.
Materials
Aggression Instrument--The Buss-Perry Aggression Questionnaire (1992) was used
to test the pre-conception, that delinquent youth are also more aggressive.
In this test there are 29 questions that provide four subscales: Physical Aggression,
Verbal Aggression, Anger, and Hostility. The participants rated themselves on
questions, and could answer on a scale of 1 (extremely uncharacteristic
of me) to 5 (extremely characteristic of me). The Buss-Perry
Aggression Questionnaire has test-retest reliability ranging from 0.72 to 0.80.
(See appendix for entire instrument.)
Mood InstrumentThe Positive and Negative Affect Scale (P.A.N.A.S) was
used to see the change of mood, if any, after the participants listened to the
different music selections. On this particular test, participants are asked
about their general feelings or emotions, for 10 positive and 10 negative adjectives.
Each adjective is rated on a 5-point scale from very slightly or not at
all, to extremely. The positive adjectives are Interested,
Excited, Strong, Enthusiastic, Proud, Alert, Inspired, Determined, Attentive,
and Active. The negative adjectives are Distressed, Upset, Guilty, Scared, Hostile,
Irritable, Ashamed, Nervous, Jittery, and Afraid. According to Watson, Clark,
and Tellegen (1998), the reliability scores of the P.A.N.A.S. are very good.
They range from 0.86 to 0.90 for Positive Affect and from 0.84 to 0.87 for Negative
Affect. (See appendix for entire instrument.)
Music Selections--A class of 30 students at Classen School of Advanced Studies,
a magnet school for gifted and talented in the visual and performing arts and
college bound students, were surveyed, in order to find age and mood appropriate
music. Six songs were chosen, two songs each of three different types: Upbeat/happy
music, upbeat/angry music, and downbeat/calm music. These were chosen as the
three types of mood-oriented music.
Procedure
Permission to use the students at the special school was obtained and the researcher
and the principal of the school agreed upon a day and time for the research.
The students at About Face Academy came into the room where the experimenter
had the materials and equipment. A few minutes were spent building rapport with
the students. Asking them their favorite musical selections by various recording
artists and which type of music they did not like to listen to accomplished
this.
The first type of music (two songs) was played and the students, while listening,
recorded their feelings on the P. A N. A. S. Next, the second type of music
(two songs) was played and the students filled out the second P. A. N. A. S.
while listening. Then, the third type of music was played, and while the students
were listening, they filled out the third P. A. N. A. S. form. Finally, the
student answered the 29 questions on the Buss-Perry Aggression Questionnaire.
Results
The Buss-Perry Aggression Questionnaire helped prove that the kids at About
Face Academy are more prone to bouts of anger over small issues. The test
scores of the About Face Academy students in this study were compared
to the averages of normal adolescents that had taken the same test
previously. Sheaffer (2001) previously reported the Buss-Perry data from Classen
students. The averages of the About Face Academy students were much higher
than those of students from Classen High School, and showed a statistically
significant difference when compared using a t-test on the Physical Aggression
and Anger scores. The Verbal Aggression and Hostility scores were not statistically
different. This is the same pattern of results that Sheaffer (2001) previously
reported. The scores for Classen Students are average Physical Aggression score
= 23.94, average Verbal Aggression score = 15.10, average Anger score = 17.17,
average Hostility score = 20.52. The scores for the About Face students are
as follows: average Physical Aggression Score = 33.10, average Verbal Aggression
score = 16.66, average Anger score = 21.55, average Hostility score = 20.79.
(See Figure 2) This data comparison shows the fact that these students can be
set off by small things much more so than less aggressive teenagers from Classen
High School.
While looking at the averages of the P.A.N.A.S., in each step, it is obvious
that with each type of music the moods of the children were different. The average
pre-Positive Score was 24.385, and the average pre-Negative Score was 11.33.
After the students listened to happy music their composite positive
score was 22.33, and the negative was 9.848.
The Angry/Upbeat music was played for the kids, and their positive average was
14.07, and the negative score was 8.34. Both the positive and negative scores
are lower, possibly showing that the music was having a calming
effect.
After the calming selection was heard the students took their last test, and
the results were just as surprising, the positive score 16.34, and the negative
was 7.50.
Using analysis of variance, there was a statistically significant difference
between the moods showing that the moods were directly affected by the music,
p<. 02. This means there is less than a 2% probability that something other
than the music (the independent variables) was causing the effect on the moods.
This was true for both types of moods. For the positive P.A.N.A.S. scores, the
mean moods before and after the happy music were significantly higher than the
average moods after the Upbeat/Angry and Calming music. For the negative P.A.N.A.S.
scores, the average moods before the music were the highest. The means of the
negative moods were significantly lower after listening to the happy music,
p < .05. The students negative moods were the lowest after listening
to calm music. This shows that the music did have an effect on the negative
moods as well.
The standard deviation on the positive scores goes from 2.755 on the pre, to
2.454, 2.120, and 3.012, which means that these scores are reliable because
the standard deviations are low and are about the same
for all three types of music and no music. For the negative scores the standard
deviations ranged from 9.9, to 10.04, 11.13, and 9.716, again showing consistency
across the types of music.
Conclusions
In summary, it can be said that moods of the students were affected by the music.
Happy/Upbeat music caused more positive moods and both Angry/Upbeat and Calming/Downbeat
music resulted in less positive moods. Negative moods were decreased by Happy/Upbeat
music and decreased the most by Calming music. The reason for the higher positive
and negative scores with no music, can be simply explained, the youth were being
allowed to miss class for the experimentation, and, therefore, this impacted
their moods at the beginning of the session.
The results show that the type of music is important in affecting the moods
of students in an alternative school. These students are known to have trouble
because of how they express their aggression. This study shows that the type
of music they listen to probably affects their mood and probably their aggressive
behavior. Happy/Upbeat music to help make their moods more positive and Calming
music to lower negative moods should probably be used.
If this project were done again, it would be interesting to more tightly control
ages and use additional types of music. If additional factors, which are considered
to control aggression in at-risk adolescents, can be identified, perhaps, meaningful
interventions can be implemented to help them achieve greater success.
A comparison of Classen students versus About Face Academy students
with regard to the P.A.N.A.S. scores would also be an interesting follow up
study.
Table 1--Means for P.A.N.A.S.
Type of music Before Happy Angry Mellow
Positive Scores 24.4 22.3 19.1 16.4
Negative Scores 11.3 9.5 8.3 7.5
Table 2-Analysis of Variance for P.A.N.A.S. Positive
Scores
Source SS df MS F p
Type of music 1015.6 3 338.5 3.33 0.02*
Error 7940.3 78 101.8
Total 8955.9 81
Table 3-Analysis of Variance for P.A.N.A.S. Negative
Scores
Source SS df MS F p
Type
of music 231.2 3 77.0 2.69 0.05*
Error 2226.2
78 28.5
Total 2557.4 81
*Denotes Significance
Red
circles indicate statistically significant differences using a t-test
Appendix
Data Collected
Copy of the Positive and Negative Affect Scale
Copy of the Buss-Perry Aggression Questionnaire
|
Pre |
After Happy/upbeat music |
After angry/upbeat music |
After mellow/calming music |
|||||
| Positive score Means: Standard Deviations: | 24 | 23 | 33 | 38 | ||||
| 29 | 21 | 12 | 22 | 12 | 7 | 3 | 9 | |
| 29 | 41 | 23 | 45 | 24 | 37 | 0 | 39 | |
| 34 | 12 | 38 | 32 | 26 | 15 | 38 | 25 | |
| 29.9 | 41 | 29.9 | 23 | 19.6 | 15 | 17.3 | 15 | |
| 24 | 40 | 33.1 | 30.8 | 31.3 | 28.6 | 43.8 | 29.2 | |
| 20.8 | 46 | 12.40 | 32 | 7.5 | 39.5 | 7.2 | 35 | |
| 19.6 | 20 | 5 | 12 | 19 | 37 | 9 | 12 | |
| 26 | 9 | 25 | 2 | 15 | 13 | 0 | 16 | |
| 13.4 | 3 | 2 | 9 | 5.9 | 37 | 10.2 | 0 | |
| 20 | 57 | 5.6 | 39 | 19 | 6 | 3.2 | 0 | |
| 27.7 | 45.1 | 15.5 | 54 | 15.3 | 13 | 7.6 | 54 | |
| 10.1 | 10.1 | 6.5 | 13 | 7.8 | 19 | 8.2 | 14 | |
| 1.7 24.4 2.8 | 4 | 10.1 22.3 2.5 | 28 | 6.5 14.1 2.1 | 6 | 8 | 0 16.4 3.0 | |
| Negative Score Means: Standard Deviations: | 14 | 7 | 2 | 5 |
| 15 | 8 | 3 | 8 | 0 | 0 | 0 | 2 | |
| 18 | 6 | 18 | 0 | 13 | 0 | 0 | 3 | |
| 17 | 0 | 16 | 0 | 10 | 1 | 17 | 5 | |
| 4.4 | 2 | 4.4 | 0 | 3.9 | 0 | .2 | 3 | |
| 16.4 | 31 | 28.8 | 38.9 | 14.1 | 35.8 | 10.3 | 41.9 | |
| 6.5 | 35 | 6.2 | 27 | 2.1 | 36.5 | 2.3 | 29 | |
| 7.7 | 31 | 12 | 9 | 3 | 16 | 4.1 | 24 | |
| 16 | 2 | 20 | 4 | 10 | 5 | 12 | 6 | |
| 4 | 24 | 1.3 | 12 | 0 | 33 | 0 | 0 | |
| 16 | 6 | 10.8 | 18 | 0 | 18 | 7.9 | 0 | |
| 5.6 | 5.6 | 2.8 | 4 | 11.7 | 0 | 4.7 | 7 | |
| 12 | 2 | 12.4 | 0 | 7.1 | 1 | 12.9 | 3 | |
| .7 11.3 9.9 | 0 | 2.3 9.8 10.0 | 0 | 2 8.3 11.1 | 0 | 14.3 7.5 9.7 | 8 |