credentialform_lnirt
327,200 responses from 1,636 respondents to 200 items.
About this table
| Description | Responses and response times from a credentialing dataset with suspected cheating. |
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| Reference | Cizek, G. J., & Wollack, J. A. (Eds.). (2016). Handbook of quantitative methods for detecting cheating on tests. Abingdon, England: Routledge. |
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| Licence | GPL-3.0 |
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| Source data | https://cran.r-project.org/web/packages/LNIRT/index.html |
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Size and shape
| Responses | 327,200 |
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| Respondents | 1,636 |
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| Items | 200 |
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| Response categories | 2 |
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| Responses per respondent | 200 |
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| Responses per item | 1,636 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Child (<18y) |
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| sample | Educational |
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| construct type | Behavioral, Cognitive/educational |
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| measurement tool | Observational rating |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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| construct name | inappropriate behavior |
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Columns
attemptcent_idcountryflaggediditempretestresprtschool_idstatecodetot_time
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("credentialform_lnirt")
# Python
pip install irw
import irw
df = irw.fetch("credentialform_lnirt")
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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