128 responses from 57 respondents to 20 items.
| Description | Reviewer ratings for conference papers. |
|---|---|
| Reference | Kuhlisch, W., Roos, M., Rothe, J., Rudolph, J., Scheuermann, B., & Stoyan, D. (2016). A statistical approach to calibrating the scores of biased reviewers of scientific papers. Metrika, 79, 37-57. |
| DOI | 10.1007/s00184-015-0542-z |
| Licence | GPL-3.0 |
| Source data | https://cran.r-project.org/web/packages/immer/index.html |
| Responses | 128 |
|---|---|
| Respondents | 57 |
| Items | 20 |
| Response categories | 7 |
| Responses per respondent | 2.246 |
| Responses per item | 6.400 |
| Density | 0.112 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Program-based |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | Reviewer ratings for conference papers. |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("immer09_immer")
# Python
pip install irw
import irw
df = irw.fetch("immer09_immer")
| 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 |