boyd_prism_2024

13,104 responses from 606 respondents to 22 items.

About this table

DescriptionParasocial Relationships in Social Media survey
ReferenceBoyd AT, Rocconi LM, Morrow JA (2024) Construct validation and measurement invariance of the Parasocial Relationships in Social Media survey. PLoS ONE 19(3): e0300356. https://doi.org/10.1371/journal.pone.0300356
DOI10.1371/journal.pone.0300356
LicenceCC BY 4.0
Source datahttps://osf.io/du7r6/

Size and shape

Responses13,104
Respondents606
Items22
Response categories5
Responses per respondent21.624
Responses per item595.636
Density0.983
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameParasocial Relationships in Social Media survey

Item text

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

InstrumentParasocial Relationships in Social Media (PRISM) survey
Mean words per item9.273
Mean characters per item48.591
Mean characters per response14
Flesch-Kincaid grade level3.925

Columns

iditemresp

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("boyd_prism_2024")
# Python
pip install irw

import irw
df = irw.fetch("boyd_prism_2024")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0