DOI: 10.7910/dvn/glsixb
title: Survey Data on Memorable Experiences with Sad Music – Reasons, Reactions and Mechanisms of Three Types of Experiences

description: Full datasets containing three samples (N=1577, N=414, N=445) that answered to questions about memorable experiences related to sad music. Includes 131 variables containing reasons, emotions, physical reactions, attitudes, mechanisms etc. The study was published as &lt;I&gt;Eerola, T. & Peltola, H.-R. (2016). Memorable Experiences with Sad Music – Reasons, Reactions and Mechanisms of Three Types of Experiences, PLOS ONE, &lt;A HREF="http://dx.doi.org/10.1371/journal.pone.0157444"&gt;http://dx.doi.org/10.1371/journal.pone.0157444&lt;/A&gt;&lt;/I&gt;
description: Survey Data on Memorable Experiences with Sad Music – Reasons, Reactions and Mechanisms of Three Types of Experiences

grant: Academy of Finland Grant 270220 (Surun Suloisuus)
date: 21-04-2016
authors: T. Eerola
affliation: Durham University, UK
subset: Main data
location: Harvard Dataverse
publication: Eerola, T., & Peltola, H.-R. (2016). Memorable Experiences with Sad Music – Reasons, Reactions and Mechanisms of Three Types of Experiences. Plos One, http://dx.doi.org/10.1371/journal.pone.0157444
citation: University of Durham. Department of Music, Structure of Sadness [computer file]. 1st Edition. Durham, Country Durham: Harvard Dataverse [distributor], April 2016, http://dx.doi.org/10.7910/DVN/GLSIXB



S1_data.csv

Sample 1 (Finnish Convenience Sample) (1577 rows, 131 columns). CSV comma-delimited file.


S2_data.csv

Sample 2 (UK Representative Sample) (414 rows, 131 columns). CSV comma-delimited file.


S3_data.csv

Sample 3 (Finnish Quota Sample) (445 rows, 131 columns). CSV comma-delimited file.


Structure of the Data

All datasets, <code>S1-S3_data.csv</code>, contain the following column variables:



<code>subj</code> <em>[integer]</em>: unique id for each subject

<code>age</code> <em>[string]</em>: age (<em>18 to 24</em>, <em>25 to 34</em>, <em>35 to 44,</em>45 to 54<em>, *55 to 64</em>, <em>65 to 74</em>, <em>75 or older</em>)

<code>gender</code> <em>[string]</em>: gender (<em>female</em>,<em>male</em>)

<code>listen</code> <em>[string]</em>: How often subject listens to music (<em>1-2/year</em>, <em>1-2/mo</em>, <em>1/week</em>, <em>mult/week</em>, <em>daily</em>, <em>mult./day</em>)

<code>expert</code> <em>[string]</em>: Musical expertise (<em>Non-Musician</em>,<em>Music Lover</em>, <em>Amateur musician</em>, <em>Semi-professional musician</em>, <em>Professional musician</em>)

<code>listensad</code> <em>[string]</em>: How often subject listens to sad music (<em>Frequently</em>,<em>Often</em>,<em>Sometimes</em>,<em>Rarely</em>,<em>I don't listen to sad music voluntarily</em>)

<code>ASM1-ASM25</code> <em>[integer]</em>: Answers to Attitudes towards Sad Music (1-7), see ASM_label.csv for labels of each 25 items.

<code>R1-R24</code> <em>[integer]</em>: Answers to Reasons for listening to Sad Music (binary), see REASON_label.csv for labels of each 24 items.

<code>AGO</code> <em>[string]</em>: How long time ago was the memorable experience (<em>less than day</em>, <em>2-5 days</em>, <em>6-10 days</em>, <em>11-30 days</em>, <em>1-6 months</em>, <em>7-12 months</em>, <em>over year</em>).

<code>CHOICE</code> <em>[string]</em>: Was the music chosen by the subject? (<em>Self-chosen</em>, <em>Not self-chosen</em>)

<code>REASON1-REASON13</code> <em>[integer]</em>: Was the reason for listening to sad music in that particular instance? (<em>1</em>, <em>NA</em>).

<code>FAM</code> <em>[string]</em>: Was the music familiar to the subject? (<em>unfamiliar</em>,<em>somewhat familiar</em>,<em>familiar,</em>extremely familiar*)

<code>IMPORTANCE</code> <em>[string]</em>: How autobiographically important was the music to the subject? (<em>Not at all</em>,<em>Quite Important</em>,<em>Important</em>,<em>Extremely Important</em>)

<code>DURATION</code> <em>[string]</em>: How long did the episode last? (<em>&lt;5min</em>,<em>5-10 min</em>,<em>10-30 min</em>,<em>31-60 min</em>,<em>60 min+</em>)

<code>FEELING1-FEELING36</code> <em>[integer]</em>: Was the FEELING term that fitted the experience? (<em>1</em>, <em>NA</em>), see FEELING_label.csv

<code>INTENSITY</code> <em>[integer]</em>: How intense was the emotion in the episode? (1-7, 1=not intense at all, 7 = extremely intense)

<code>PLEASURE</code> <em>[integer]</em>: How pleasurable was the emotion in the episode? (1-7, 1=not pleasurable at all, 7 = extremely pleasurable)

<code>PHYS1-PHYS5</code> <em>[integer]</em>: Was were the physical reactions associated with the episode? (<em>1</em>, <em>NA</em>), see PHYS_label.csv

<code>MEC1-MEC10</code> <em>[integer]</em>: Was were the mechanisms associated with the episode? (<em>1</em>, <em>NA</em>), see MEC_label.csv

<code>MOODCHANGE</code> <em>[string]</em>: How was your mood after the episode? (<em>Worse</em>,<em>Same</em>,<em>Better</em>,<em>NA</em>)

<code>PHYSCHANGE</code> <em>[string]</em>: How was your physical state after the episode? (<em>Worse</em>,<em>Same</em>,<em>Better</em>,<em>NA</em>)

<code>ESSENTIAL1-ESSENTIAL3</code> <em>[string]</em>: How often have you experienced feelings ... (see ESSENTIAL_LABELS.csv for details)? (<em>Never</em>,<em>Rarely</em>,<em>Sometimes</em>,* <em>Frequently</em>,<em>Very Frequently</em>)



Additional Data Labels


ASM_label.csv

Information about the 25 items from the Attitudes to Sad Music (Eerola, Peltola, & Vuoskoski, 2015). Each item is in a separate line, corresponds to data files ASM1-ASM25 (where ASM1 is the item #1 etc.).


REASON_label.csv

Information about the 13 items that represent the reasons for listening to particular sad music during the episode. Each item is in a separate line, corresponds to data files REASON1-REASON13 (where REASON1 is the item #1 etc.).


FEELING_label.csv

Information about the 36 terms that people could choose to represent the emotion experienced during the episode. Each item is in a separate line, corresponds to data files FEELING1-FEELING36 (where FEELING1 is the item #1 etc.).


MEC_label.csv

Information about the 10 items representing the mechanisms responsible for the emotion during the episode (Adapted from Juslin, 2015). Each item is in a separate line, corresponds to data files MEC1-MEC10 (where MEC1 is the item #1 etc.).


PHYS_label.csv

Information about the 5 items representing the physical reactions in response to memorable the episode. Each item is in a separate line, corresponds to data files PHYS1-PHYS5 (where PHYS1 is the item #1 etc.).


ESSENTIAL_label.csv

Information about 3 broad concepts of emotions experienced generally (how often). Adapted from Peltola and Eerola (2016). Each item is in a separate line, corresponds to data files ESSENTIAL1-ESSENTIAL10 (where ESSENTIAL1 is the item #1 etc.).


References


Eerola, T., Peltola, H.-R., & Vuoskoski, J. K. (2015). Attitudes towards sad music are related to both preferential and contextual strategies. <em>Psychomusicology: Music, Mind, and Brain, 25(2)</em>, 116-123. 
Peltola, H.-R. & Eerola, T. (2016). Fifty Shades of Blue: Classification of music-evoked sadness. <em>Musicae Scientiae, 20(1)</em>, 84-102. 
Juslin, P. N., Barradas, G., & Eerola, T. (2015). From Sound to Significance: Exploring the Mechanisms Underlying Emotional Reactions to Music. <em>American Journal of Psychology, 128(3)</em>, 281-304.