meloni_2015_deq_oe_child

2,736 responses from 76 respondents to 36 items.

About this table

DescriptionChildren's open-ended disability explanations, coded mention-counts per disability model x stimulus (36 items), N=76
ReferenceMeloni F, Federici S, Dennis JL (2015). Parents' Education Shapes, but Does Not Originate, the Disability Representations of Their Children. PLOS ONE. https://doi.org/10.1371/journal.pone.0128876
DOI10.1371/journal.pone.0128876
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0128876.s001

Size and shape

Responses2,736
Respondents76
Items36
Response categories9
Responses per respondent36
Responses per item76
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Child (6-12y)
sampleEducational
measurement toolSurvey/questionnaire
item formatConstructed Response
primary language(s)ita

Item text

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

InstrumentDisability Explanation - Open-Ended Questionnaire (child version), scored as coded-mention counts in nine disability-model categories
Mean words per item1
Mean characters per item2
Mean characters per response2
Flesch-Kincaid grade level-3.400

Columns

cov_agecov_classmate_disabilitycov_classmate_disability_yncov_classroom_integrationcov_schoolcov_school_gradecov_sexiditemresp

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("meloni_2015_deq_oe_child")
# Python
pip install irw

import irw
df = irw.fetch("meloni_2015_deq_oe_child")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0