fims_tam
89,194 responses from 6,371 respondents to 14 items.
About this table
| Description | Math items from FIMS study (Australian and Japanese students) |
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| 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. |
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| Licence | GPL-3.0 |
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| Source data | https://cran.r-project.org/web/packages/TAM/index.html |
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Size and shape
| Responses | 89,194 |
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| Respondents | 6,371 |
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| Items | 14 |
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| Response categories | 2 |
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| Responses per respondent | 14 |
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| Responses per item | 6,371 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Mixed |
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| sample | Targeted/specific |
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| construct type | Cognitive/educational |
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| measurement tool | Test |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | Math items from FIMS study |
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Columns
countryiditemresp
Get the data
Or load it directly in R or Python:
# 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")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse v53.0 |
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| Redivis dataset DOI | 10.57761/4g08-xt41 |
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| Manifest pin for this IRW version | v53.0 |
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| Metadata source | irw_meta v23.0 |
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