BAFACALO_Golino_2013_BVPS

18,104 responses from 292 respondents to 62 items.

About this table

DescriptionBroad visual perception subtest for 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

Responses18,104
Respondents292
Items62
Response categories2
Responses per respondent62
Responses per item292
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
child age (for child-focused studies)Adolescent (12-18y)
sampleEducational
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, Broad visual perception subtest

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_BVPS")
# Python
pip install irw

import irw
df = irw.fetch("BAFACALO_Golino_2013_BVPS")

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