jeune_2024_research_use

3,153 rated or chosen profiles from 440 respondents, in up to 8 tasks of 1 profile varying on 6 attributes.

About this table

DescriptionFactorial vignette survey: 440 French education stakeholders (teachers, trainers, decision makers, researchers; online, 2022) each rated 8 text vignettes about a teacher accessing research, varying 6 binary factors (audience fit, teacher involvement, conceptual and instrumental utility, collaboration, institutional support), on how likely the teacher is to use the research (-5 to 5).
ReferenceJeune, N., Juhel, J., Dessus, P., & Atal, I. (2024). Six factors facilitating teachers' use of research: An experimental factorial survey of educational stakeholders' perspectives. Frontiers in Education, 9, 1368565.
DOI10.3389/feduc.2024.1368565
LicenceCC BY 4.0
Source datahttps://doi.org/10.17605/OSF.IO/XC948

Notes

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents440
Rows (one per respondent, task and profile)3,153
Tasks per respondent (most)8
Profiles per task1
Attributes6

Design

Topicother
A profile representsscenario
CountryFR
Language shownfr
Language of stored levelsfr
Randomization restrictionsyes (stated by the source): fixed blocked design: only 16 of the 64 combinations of the six binary factors were shown (D-efficient sample, vignette_structure.csv), 8 per block; each level appears in 8 of the 16 vignettes
Task orderinferred from row order
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingÀ quel point vous semble-t-il probable que Mx. A utilise la recherche qui l'intéresse dans ces conditions ? [rating, -5 (Extrêmement improbable) to 5 (Extrêmement probable)]

Columns

attr_collaborationattr_conceptual_utilityattr_institutional_supportattr_instrumental_utilityattr_target_audienceattr_teacher_involvementcov_blockcov_pilotcov_rolecov_years_experienceidprofileratingtasktrial_vignette

The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.

Get the data

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

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jeune_2024_research_use", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("jeune_2024_research_use", source="conj")

How to cite

@article{Jeune_2024, title={Six factors facilitating teachers’ use of research. An experimental factorial survey of educational stakeholders perspectives}, volume={9}, ISSN={2504-284X}, url={http://dx.doi.org/10.3389/feduc.2024.1368565}, DOI={10.3389/feduc.2024.1368565}, journal={Frontiers in Education}, publisher={Frontiers Media SA}, author={Jeune, Nathanael and Juhel, Jacques and Dessus, Philippe and Atal, Ignacio}, year={2024}, month=May }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint v4.2
Redivis dataset DOI10.57761/qkye-q530
Manifest pin for this IRW versionv4.2
Metadata sourceirw_meta v44.0