myszkowski_2018_spmls_nom

5,988 responses from 499 respondents to 12 items.

The scored version of this table is myszkowski_2018_spmls.

One of 2 tables from the same source; this one is the spmls_nom table. The others are listed under Related tables.

About this table

DescriptionNominal companion of myszkowski_2018_spmls: SPM-LS (last series of Raven's SPM), 12 items, 499 respondents; text = option chosen (1-8, 7 distractors + key), resp = correct.
ReferenceMyszkowski, N., & Storme, M. (2018). A snapshot of g? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS). Intelligence, 68, 109-116.
DOI10.1016/j.intell.2018.03.010
LicenceCC BY 4.0
Source datahttps://data.mendeley.com/datasets/h3yhs5gy3w/1

Size and shape

Responses5,988
Respondents499
Items12
Response categories8
Responses per respondent12

Columns

iditemresptext

id, item, resp are defined in the IRW data standard and mean the same in every table. For the other columns, including what item codes and covariate values stand for, any codebook is the one 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("myszkowski_2018_spmls_nom", source = "nom")
# Python
pip install irw

import irw
df = irw.fetch("myszkowski_2018_spmls_nom", source="nom")

How to cite

@article{Myszkowski_2018, title={A snapshot of g ? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS)}, volume={68}, ISSN={0160-2896}, url={http://dx.doi.org/10.1016/j.intell.2018.03.010}, DOI={10.1016/j.intell.2018.03.010}, journal={Intelligence}, publisher={Elsevier BV}, author={Myszkowski, Nils and Storme, Martin}, year={2018}, month=May, pages={109–116} }

Version and provenance

IRW versionv581
Redivis datasetirw_nominal v4.1
Redivis dataset DOI10.57761/9hzd-dc70
Manifest pin for this IRW versionv4.1
Metadata sourceirw_meta v44.0