polca_carcinoma
826 responses from 118 respondents to 7 items.
About this table
| Description | Presence(=1) or absence of carcinoma in uterine cervix (ratings by 7 pathologists) |
|---|
| Reference | Agresti, Alan. 2002. Categorical Data Analysis, second edition. Hoboken: John Wiley \& Sons. |
|---|
| DOI | 10.1002/0471249688 |
|---|
| Licence | GPL-3.0 |
|---|
| Source data | https://cran.r-project.org/web/packages/poLCA/index.html |
|---|
Size and shape
| Responses | 826 |
|---|
| Respondents | 118 |
|---|
| Items | 7 |
|---|
| Response categories | 2 |
|---|
| Responses per respondent | 7 |
|---|
| Responses per item | 118 |
|---|
| Density | 1 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Non-human |
|---|
| sample | Non-human |
|---|
| construct type | Physical health/functioning |
|---|
| measurement tool | Observational rating |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
| construct name | Diagnoses of carcinoma |
|---|
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("polca_carcinoma")
# Python
pip install irw
import irw
df = irw.fetch("polca_carcinoma")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse v53.0 |
|---|
| Redivis dataset DOI | 10.57761/4g08-xt41 |
|---|
| Manifest pin for this IRW version | v53.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|