Item Response Warehouse / Tables / zhang-eye-2022zhang-eye-2022
7,272 responses from 202 respondents to 36 items.
About this table
Description Using A Multi-Strategy Eye-Tracking Psychometric Model to Measure Intelligence and Identify Cognitive Strategy in Raven’s Advanced Progressive Matrices Licence CC BY 4.0 Source data https://osf.io/wx2p8/files/osfstorage
Size and shape
Responses 7,272 Respondents 202 Items 36 Response categories 2 Responses per respondent 36 Responses per item 202 Density 1 Longitudinal FALSE
Classification
age range Mixed sample Targeted/specific construct type Behavioral, Cognitive/educational measurement tool Observational rating item format Likert Scale/selected response primary language(s) eng construct name Eye tracking model to measure intelligence
Columns
id item itemcov_ia_dwell_time itemcov_ia_dwell_time_pct itemcov_ia_first_run_dwell_time itemcov_toggle itemcov_toggle_rate itemcov_trial_dwell_time resp rt
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("zhang-eye-2022")
# Python
pip install irw
import irw
df = irw.fetch("zhang-eye-2022")
Version and provenance
IRW version v393 Redivis dataset item_response_warehouse_2 v19.0 Redivis dataset DOI 10.57761/qtx5-4m80 Manifest pin for this IRW version v19.0 Metadata source irw_meta v23.0
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse_2 v19.0.