89,194 responses from 6,371 respondents to 14 items.
One of 2 tables from the same source; this one measures Math items from FIMS study. The others are listed under Related tables.
| Description | Math items from FIMS study (Australian and Japanese students) |
|---|---|
| Reference | Robitzsch A, Kiefer T, Wu M (2022). TAM: Test Analysis Modules. R package version 4.1-4, https://CRAN.R-project.org/package=TAM. |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/TAM/index.html |
| Responses | 89,194 |
|---|---|
| Respondents | 6,371 |
| Items | 14 |
| Response categories | 2 |
| Responses per respondent | 14 |
| Responses per item | 6,371 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| sample | Targeted/specific |
| construct type | Cognitive/educational |
| measurement tool | Test |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Math items from FIMS study |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, tam.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 | ||
country | 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 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("fims_tam")
# Python
pip install irw
import irw
df = irw.fetch("fims_tam")
@Manual{TAM2022,
title = {TAM: Test Analysis Modules},
author = {Alexander Robitzsch and Thomas Kiefer and Margaret Wu},
year = {2022},
note = {R package version 4.1-4},
url = {https://CRAN.R-project.org/package=TAM}
}
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse v70.0 |
| Redivis dataset DOI | 10.57761/4qxs-pq87 |
| Manifest pin for this IRW version | v70.0 |
| Metadata source | irw_meta v39.0 |