BAFACALO_Golino_2013_SMS

10,804 responses from 292 respondents to 37 items.

About this table

DescriptionShort-term memory subtests from Brazil high school students
ReferenceGolino, H. F., & Gomes, C. M. A. (2014). Psychology data from the “BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models–Carroll’s Model and the CHC model”. Journal of Open Psychology Data, 2(1), e6-e6. Golino, Hudson; Gomes, Cristiano, 2013, "Data from the BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models: Carroll's model and the CHC model.", https://doi.org/10.7910/DVN/23150, Harvard Dataverse, V1, UNF:5:gvU0svAl87oW02bkbMD0zg== [fileUNF]
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/23150

Size and shape

Responses10,804
Respondents292
Items37
Response categories2
Responses per respondent37
Responses per item292
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
construct typeCognitive/educational, Developmental
measurement toolTest
item formatLikert Scale/selected response
primary language(s)bra
construct nameData from the BAFACALO project: The Brazilian Intelligence Battery based on two state-of-the-art models: Carroll's model and the CHC model, Short-term memory subtests

Columns

ageiditemresp

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("BAFACALO_Golino_2013_SMS")
# Python
pip install irw

import irw
df = irw.fetch("BAFACALO_Golino_2013_SMS")

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