lsat
5,000 responses from 1,000 respondents to 5 items.
About this table
| Description | Data from LSAT |
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| Reference | Bock, R. and Lieberman, M. (1970) Fitting a response model for n dichotomously scored items. Psychometrika, 35, 179–197. |
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| DOI | 10.1007/BF02291262 |
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| Licence | GPL-3.0 |
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| Source data | https://cran.r-project.org/web/packages/ltm/index.html |
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Size and shape
| Responses | 5,000 |
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| Respondents | 1,000 |
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| Items | 5 |
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| Response categories | 2 |
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| Responses per respondent | 5 |
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| Responses per item | 1,000 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| construct name | Fitting a response model for n dichotomously scored items |
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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("lsat")
# Python
pip install irw
import irw
df = irw.fetch("lsat")
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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