19,920 responses from 664 respondents to 30 items.
One of 2 tables from the same source; this one measures Data from a 4th grade math test of German students.. The others are listed under Related tables.
| Description | Data from a 4th grade math test of German students. |
|---|---|
| Reference | Robitzsch A (2022). sirt: Supplementary Item Response Theory Models. R package version 3.12-66, https://CRAN.R-project.org/package=sirt. |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/sirt/index.html |
| Responses | 19,920 |
|---|---|
| Respondents | 664 |
| Items | 30 |
| Response categories | 2 |
| Responses per respondent | 30 |
| Responses per item | 664 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Child (<18y) |
|---|---|
| child age (for child-focused studies) | Child (6-12y) |
| sample | Educational |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | ger |
| construct name | Data from a 4th grade math test of German students. |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, sirt.R. 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 |
| Other columns | ||
domain | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
subdomain | Not documented Not documented by the IRW; see the source’s codebook. | not traced |
testlet | Not documented Not documented by the IRW; see the source’s codebook. | made in the build script |
What item codes and covariate values stand for is in the package’s documentation, sirt::data.math.
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("4thgrade_math_sirt")
# Python
pip install irw
import irw
df = irw.fetch("4thgrade_math_sirt")
@Manual{Robitzsch2022,
title = {sirt: Supplementary Item Response Theory Models},
author = {Alexander Robitzsch},
year = {2022},
note = {R package version 3.12-66},
url = {https://CRAN.R-project.org/package=sirt}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse v74.0 |
| Redivis dataset DOI | 10.57761/a1gm-m985 |
| Manifest pin for this IRW version | v73.0 |
| Metadata source | irw_meta v44.0 |