verbagg
7,584 responses from 316 respondents to 24 items.
About this table
| Description | Self-Reports of whether one would want or do acts of verbal aggression. |
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| Reference | De Boeck and Wilson (2004), Explanatory Item Response Models, Springer. |
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| DOI | 10.1007/978-1-4757-3990-9 |
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| Licence | GPL-3.0 |
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| Source data | https://rdrr.io/cran/lme4/man/VerbAgg.html |
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Size and shape
| Responses | 7,584 |
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| Respondents | 316 |
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| Items | 24 |
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| Response categories | 2 |
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| Responses per respondent | 24 |
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| Responses per item | 316 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| measurement tool | Survey/questionnaire |
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| construct name | Verbal Aggression item responses |
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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("verbagg")
# Python
pip install irw
import irw
df = irw.fetch("verbagg")
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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