morgan_2026_music_personality_music_activity

5,315 responses from 497 respondents to 10 items.

About this table

DescriptionMusic-related Activities
ReferenceMorgan, B., Holtzman, N. S., Hines, C. A., Dockter, E., & Pichon, P. (2026). Do personal values predict music preferences, above and beyond personality traits? Journal of Individual Differences, 47(1), 21–31
DOI10.1027/1614-
LicencePermission via Email
Source datahttps://osf.io/g8dvj/overview

Size and shape

Responses5,315
Respondents497
Items10
Response categories5
Responses per respondent10.694
Responses per item531.500
Density1.069
LongitudinalTRUE

Classification

age rangeAdult (18+)
sampleEducational
construct typePersonality
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameMusic-related Activities

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentMusic-related Activities (10-item, study-specific measure; Morgan et al. 2026 raw survey materials -- not one of the paper's three named measures BFI-2-S/STOMP-R/PVQ-21)
Mean words per item6.900
Mean characters per item48.600
Mean characters per responseNaN
Flesch-Kincaid grade level10.359

Columns

cov_catch1dateiditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("morgan_2026_music_personality_music_activity")
# Python
pip install irw

import irw
df = irw.fetch("morgan_2026_music_personality_music_activity")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0