5,988 responses from 499 respondents to 12 items.
A version of this table that keeps the option each respondent chose is myszkowski_2018_spmls_nom.
One of 2 tables from the same source; this one is the spmls table. The others are listed under Related tables.
| Description | Last series of Raven's Standard Progressive Matrices (SPM-LS), 12 items, 499 respondents; resp scored against the key, resp_raw = option chosen (1-8). |
|---|---|
| Reference | Myszkowski, 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. |
| DOI | 10.1016/j.intell.2018.03.010 |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/h3yhs5gy3w/1 |
| Responses | 5,988 |
|---|---|
| Respondents | 499 |
| Items | 12 |
| Response categories | 2 |
| Responses per respondent | 12 |
| Responses per item | 499 |
| Density | 1 |
| Longitudinal | FALSE |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, myszkowski_2018_spmls.py. 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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
resp_raw | IRW standard The response as originally recorded, where resp holds a scored or recoded version of it — the letter a candidate marked (A–E), an option label, a categorical string. | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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")
# Python
pip install irw
import irw
df = irw.fetch("myszkowski_2018_spmls")
@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} }
| IRW version | v581 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |