immer09_immer

128 responses from 57 respondents to 20 items.

About this table

DescriptionReviewer ratings for conference papers.
ReferenceKuhlisch, 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.
DOI10.1007/s00184-015-0542-z
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/immer/index.html

Size and shape

Responses128
Respondents57
Items20
Response categories7
Responses per respondent2.246
Responses per item6.400
Density0.112
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleProgram-based
construct typeOpinion/attitude
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameReviewer ratings for conference papers.

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, immer.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# 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")

How to cite

@article{Kuhlisch_2015, title={A statistical approach to calibrating the scores of biased reviewers of scientific papers}, volume={79}, ISSN={1435-926X}, url={http://dx.doi.org/10.1007/s00184-015-0542-z}, DOI={10.1007/s00184-015-0542-z}, number={1}, journal={Metrika}, publisher={Springer Science and Business Media LLC}, author={Kuhlisch, Wiltrud and Roos, Magnus and Rothe, Jörg and Rudolph, Joachim and Scheuermann, Björn and Stoyan, Dietrich}, year={2015}, month=apr, pages={37–57} }

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v39.0