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The Effect of Classical and Dance Music on Emotion
James Fulks
We consider emotions to be short term and high in intensity, as compared to mood which we
consider to be long term and lower in intensity (Lamont & Eerola 2011).
In 2008 Delsing showed through a study that those who preferred intense music with a fast
beat (high arousal music) had lower moral thought and high openness to experience, this was
characterized by dance music in this study.
In 2011 Gardikiotis discoverd that those who like classical and jazz music (low arousal music)
tended to have more conservative values, this was characterized by classical music in this study.
Through this study we were exploring how different types of music may affect behavior
through emotion.
If types of music have a direct effect on how we feel it can also affect how we behave.
A one-way ANOVA and Post Hoc test were used to test the difference
between groups.
There was a Statistical difference between the Negative Affect (Emotion) of the
Dance and Control groups.
Although not quite statistically significant at the .05 level the classical group did
have less negative emotions than the control group.
The P-value is low 0.004, showing a significant difference between Dance and Control groups
The control group had on average a 4.30 higher rating of negative emotions, than the dance
group.
4.30 on a scale of 50 is not a huge difference, but the maximum score given for any NA is 30.
None of our groups were statistically significant on Positive Affect
Instead of having more negative emotions as expected, the dance music group had less negative
emotions than the control group. Music seems to reduce negative emotions.
Participants were BYU-Idaho Students, Caucasians 18-25.
There were 57 participants.
Three groups, the Control group (n=17), Classical music group (n=18), and the Dance
Music group (n=22).
Participants worked on simple addition and subtraction problems for 15 minutes.
The dance group listened to Dance music and the Classical group listened to Classical music
while doing the math problems.The Control group listened to no music.
After the 15 minutes of math problems the participants completed the PANAS-X
questionnaire, which measures positive and negative emotions.
Dance music was defined by taking instrumental versions of songs that were in the top 30 in
the “dance/party” genre on each of two websites: dancetop40.com and billboard.com.
Classical music was defined as songs from well-known composers from the years 1750-1830
AD, such as Beethoven, Mozart and Haydn.
Participants were separated into classrooms and the music for the two groups was played over
the speakers in the room.
 Delsing, M. (2008),Adolescents’ music preferences and personality characteristics. European
Journal of Personality, 22(2), 109-130. doi:10.1002/per.665. 
 
Gardikiotis,A; Baltiz,A. (2011),‘Rock music for myself and justice to the world!: Musical
identity, values and musical preferences. Psychology of Music, 2012, 40, 143.
doi:10.1177/0305735610386836
 
Lamont,A. and Eerola,T. (2011) Music and emotion:Themes and development.
Musicae Scientiae, July 2011 vol. 15 no. 2 139-145; doi:10.1177/1029864911403366
 
Watson, D; Clark, L.A (1994). The PANAS-X:Manual for the Positive and Negative Affect
Schedule- Expanded Form. University of Iowa.
Thank you to Devin Marrott, Kelly Sutton,Taylor Ririe, Ben Duncan, Devin Malone, Kevin
Murphy, NikoleAlyes for helping conducting the study,To Brett Jenkins for help with poster
design, and thank you to Professor Eric Gee for all his help and direction!
Dance music reduced negative emotions, showing that upbeat music could actually cause
people to feel better than listening to nothing while performing tedious or repetitive tasks.
Overall music listening may reduce negative emotions when doing repetitive tasks, although
more testing would need to be conducted.
There was little difference between the negative emotions of the two groups that did listen
to music.
Limitations:
It is difficult to define the music genres.
The setting in which the participants listened to music was somewhat artificial.
We played music at the same volume and without lyrics.
Many times Dance music is listened to at a louder volume, which may influence emotion.
Small n sizes, Control group (n=17), Classical music group (n=18), & Dance Music group
(n=22).
Further Research:
Does listening to upbeat music improve emotion when performing tedious tasks.
Effects on emotions of other genres of music
Effects of lyrics on emotions (we excluded lyrics in this study).
Effects of music volume on emotions.
Effects of music tempo and beat on emotions.
Results Discussion
References
Acknowledgements
Introduction
Methods
Department of Psychology
!"#$%&'
LSD
Comparison Mean Difference P-value
NA Classical-Control -2.72 0.076
Dance- Control -4.30 0.004
Classical-Dance 1.59 0.267
PA Classical-Control 3.11 0.270
Dance - Control 2.29 0.395
Classical-Dance 0.83 0.754
Multiple Comparisons
ANOVA
!"#$%&'
n M SD Lower Bound Upper Bound Minimum Maximum
NA Classical 18 14.22 3.83 12.32 16.13 10 24
Dance 22 12.64 2.13 11.69 13.58 10 18
Control 17 16.94 6.72 13.49 20.40 10 30
PA Classical 18 31.06 7.47 27.34 34.77 19 44
Dance 22 30.23 9.04 26.22 34.24 14 55
Control 17 27.94 7.90 23.83 32.05 15 41
Descriptive Statistics
95% Confidence Level

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music and emotion poster

  • 1. The Effect of Classical and Dance Music on Emotion James Fulks We consider emotions to be short term and high in intensity, as compared to mood which we consider to be long term and lower in intensity (Lamont & Eerola 2011). In 2008 Delsing showed through a study that those who preferred intense music with a fast beat (high arousal music) had lower moral thought and high openness to experience, this was characterized by dance music in this study. In 2011 Gardikiotis discoverd that those who like classical and jazz music (low arousal music) tended to have more conservative values, this was characterized by classical music in this study. Through this study we were exploring how different types of music may affect behavior through emotion. If types of music have a direct effect on how we feel it can also affect how we behave. A one-way ANOVA and Post Hoc test were used to test the difference between groups. There was a Statistical difference between the Negative Affect (Emotion) of the Dance and Control groups. Although not quite statistically significant at the .05 level the classical group did have less negative emotions than the control group. The P-value is low 0.004, showing a significant difference between Dance and Control groups The control group had on average a 4.30 higher rating of negative emotions, than the dance group. 4.30 on a scale of 50 is not a huge difference, but the maximum score given for any NA is 30. None of our groups were statistically significant on Positive Affect Instead of having more negative emotions as expected, the dance music group had less negative emotions than the control group. Music seems to reduce negative emotions. Participants were BYU-Idaho Students, Caucasians 18-25. There were 57 participants. Three groups, the Control group (n=17), Classical music group (n=18), and the Dance Music group (n=22). Participants worked on simple addition and subtraction problems for 15 minutes. The dance group listened to Dance music and the Classical group listened to Classical music while doing the math problems.The Control group listened to no music. After the 15 minutes of math problems the participants completed the PANAS-X questionnaire, which measures positive and negative emotions. Dance music was defined by taking instrumental versions of songs that were in the top 30 in the “dance/party” genre on each of two websites: dancetop40.com and billboard.com. Classical music was defined as songs from well-known composers from the years 1750-1830 AD, such as Beethoven, Mozart and Haydn. Participants were separated into classrooms and the music for the two groups was played over the speakers in the room.  Delsing, M. (2008),Adolescents’ music preferences and personality characteristics. European Journal of Personality, 22(2), 109-130. doi:10.1002/per.665.    Gardikiotis,A; Baltiz,A. (2011),‘Rock music for myself and justice to the world!: Musical identity, values and musical preferences. Psychology of Music, 2012, 40, 143. doi:10.1177/0305735610386836   Lamont,A. and Eerola,T. (2011) Music and emotion:Themes and development. Musicae Scientiae, July 2011 vol. 15 no. 2 139-145; doi:10.1177/1029864911403366   Watson, D; Clark, L.A (1994). The PANAS-X:Manual for the Positive and Negative Affect Schedule- Expanded Form. University of Iowa. Thank you to Devin Marrott, Kelly Sutton,Taylor Ririe, Ben Duncan, Devin Malone, Kevin Murphy, NikoleAlyes for helping conducting the study,To Brett Jenkins for help with poster design, and thank you to Professor Eric Gee for all his help and direction! Dance music reduced negative emotions, showing that upbeat music could actually cause people to feel better than listening to nothing while performing tedious or repetitive tasks. Overall music listening may reduce negative emotions when doing repetitive tasks, although more testing would need to be conducted. There was little difference between the negative emotions of the two groups that did listen to music. Limitations: It is difficult to define the music genres. The setting in which the participants listened to music was somewhat artificial. We played music at the same volume and without lyrics. Many times Dance music is listened to at a louder volume, which may influence emotion. Small n sizes, Control group (n=17), Classical music group (n=18), & Dance Music group (n=22). Further Research: Does listening to upbeat music improve emotion when performing tedious tasks. Effects on emotions of other genres of music Effects of lyrics on emotions (we excluded lyrics in this study). Effects of music volume on emotions. Effects of music tempo and beat on emotions. Results Discussion References Acknowledgements Introduction Methods Department of Psychology !"#$%&' LSD Comparison Mean Difference P-value NA Classical-Control -2.72 0.076 Dance- Control -4.30 0.004 Classical-Dance 1.59 0.267 PA Classical-Control 3.11 0.270 Dance - Control 2.29 0.395 Classical-Dance 0.83 0.754 Multiple Comparisons ANOVA !"#$%&' n M SD Lower Bound Upper Bound Minimum Maximum NA Classical 18 14.22 3.83 12.32 16.13 10 24 Dance 22 12.64 2.13 11.69 13.58 10 18 Control 17 16.94 6.72 13.49 20.40 10 30 PA Classical 18 31.06 7.47 27.34 34.77 19 44 Dance 22 30.23 9.04 26.22 34.24 14 55 Control 17 27.94 7.90 23.83 32.05 15 41 Descriptive Statistics 95% Confidence Level