schafer_2016_music_effects
4,506 responses from 121 respondents to 3 items.
About this table
| Description | 3-item music-listening effects rating (1-10 scale) across repeated diary episodes (wave), n=121 |
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| Reference | Schafer T, et al (2016). The Goals and Effects of Music Listening and Their Relationship to the Strength of Music Preference. PLOS ONE. |
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| DOI | 10.1371/journal.pone.0151634 |
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| Licence | CC BY 4.0 |
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| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0151634 |
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Size and shape
| Responses | 4,506 |
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| Respondents | 121 |
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| Items | 3 |
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| Response categories | 10 |
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| Responses per respondent | 37.240 |
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| Responses per item | 1,502 |
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| Density | 12.413 |
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| Longitudinal | TRUE |
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Classification
| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | ger |
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Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Music-listening diary: effects of music listening (Schäfer, 2016) |
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| Mean words per item | 14.333 |
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| Mean characters per item | 95.667 |
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| Mean characters per response | 3.500 |
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| Flesch-Kincaid grade level | 12.121 |
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Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("schafer_2016_music_effects")
# Python
pip install irw
import irw
df = irw.fetch("schafer_2016_music_effects")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_4 v7.0 |
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| Redivis dataset DOI | 10.57761/cpj5-vm97 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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