Item Response Warehouse / Tables / figure_skatingfigure_skating
23,077 responses from 1,676 respondents to 663 items.
About this table
Description Judges scores for different aspects of international figure skaters' performances (2016-17 and 2017-18 seasons) Reference Singer-Vine, J. & Templon, J. (2021). ISU Figure Skating Score Sheets as Structured Data [data set]. BuzzFeed News. https://github.com/BuzzFeedNews/figure-skating-scores Licence CC BY 4.0 Source data https://github.com/BuzzFeedNews/figure-skating-scores
Size and shape
Responses 23,077 Respondents 1,676 Items 663 Response categories 1,103 Responses per respondent 13.769 Responses per item 34.807 Density 0.021 Longitudinal FALSE
Classification
age range Mixed sample General/non-specific construct type Behavioral measurement tool Test item format Constructed Response primary language(s) eng construct name ISU Figure Skating Judges' Aspect Scores Dataset
Columns
id item nation performance_id performance_type person_id resp
Get the data
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("figure_skating")
# Python
pip install git+https://github.com/itemresponsewarehouse/Python-pkg.git
import irw
df = irw.fetch("figure_skating")
Browse or download it directly on Redivis , or take the Croissant description of this table for use with Hugging Face, Kaggle or OpenML.
Version and provenance
IRW version v332 Redivis dataset item_response_warehouse v47.0 Redivis dataset DOI 10.57761/3jrw-s263 Manifest pin for this IRW version v46.0 Metadata source irw_meta v19.3
Part of the Item Response Warehouse , IRW v332. This page describes the table as released in item_response_warehouse v47.0.