Gene_likert_Aivelo_2020

10,482 responses from 421 respondents to 25 items.

About this table

DescriptionShortened Sherman Mathematics Attitude Scale (FSMAS), Shortened Biohead-Citizen questionnaire
ReferenceAivelo, T., & Uitto, A. (2020, May 22). Factors explaining students’ attitudes towards learning in genetics and belief in genetic determinism. https://doi.org/10.35542/osf.io/d5hzg
DOI10.35542/osf.io/d5hzg
LicenceCC BY 4.0
Source datahttps://osf.io/preprints/edarxiv/d5hzg

Size and shape

Responses10,482
Respondents421
Items25
Response categories5
Responses per respondent24.898
Responses per item419.280
Density0.996
LongitudinalFALSE

Classification

age rangeMixed
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
construct typeCognitive/educational, Opinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
construct nameFactors explaining students’ attitudes towards learning in genetics and belief in genetic determinism

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced

What item codes and covariate values stand for is in the codebook released with the source data.

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("Gene_likert_Aivelo_2020")
# Python
pip install irw

import irw
df = irw.fetch("Gene_likert_Aivelo_2020")

How to cite

@article{Aivelo_2020, title={Factors explaining students’ attitudes towards learning in genetics and belief in genetic determinism}, url={http://dx.doi.org/10.35542/osf.io/d5hzg}, DOI={10.35542/osf.io/d5hzg}, publisher={Center for Open Science}, author={Aivelo, Tuomas and Uitto, Anna}, year={2020}, month=may }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v39.0