klatt_2016_speed_estimation

2,880 responses from 60 respondents to 48 items.

About this table

Description48-trial car-speed-estimation task: signed estimation error (verbal estimate minus true target speed, km/h) for 8 approaching cars x 3 target speeds x 2 road positions, from a pedestrian road-crossing study
ReferenceKlatt WK, Chesham A, Cassuto ZY, et al. (2016) Putting Up a Big Front: Car Design and Size Affect Road-Crossing Behaviour. PLoS ONE.
DOI10.1371/journal.pone.0159455
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0159455.s001

Size and shape

Responses2,880
Respondents60
Items48
Response categories58
Responses per respondent48
Responses per item60
Density1
LongitudinalFALSE

Classification

measurement toolTest
item formatConstructed Response
primary language(s)ger

Columns

iditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("klatt_2016_speed_estimation")
# Python
pip install irw

import irw
df = irw.fetch("klatt_2016_speed_estimation")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_4 v7.0
Redivis dataset DOI10.57761/cpj5-vm97
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0