Item Response Warehouse / Tables / rr98_accuracyrr98_accuracy
12,205 responses from 30 respondents to 33 items.
About this table
Description Luminosity discrimination tasks Reference Ratcliff, R., & Rouder, J. N. (1998). Modeling Response Times for Two-Choice Decisions. Psychological Science, 9(5), 347-356. http://doi.org/10.1111/1467-9280.00067 DOI 10.1111/1467-9280.00067 Licence GPL-3.0 Source data https://cran.r-project.org/web/packages/rtdists/index.html
Size and shape
Responses 12,205 Respondents 30 Items 33 Response categories 2 Responses per respondent 406.833 Responses per item 369.848 Density 12.328 Longitudinal FALSE
Classification
age range Adult (18+) sample Educational construct type Opinion/attitude measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) eng construct name Luminosity discrimination tasks
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Ratcliff & Rouder (1998, Experiment 1) brightness discrimination task, accuracy-instruction blocks Mean words per item 8.303 Mean characters per item 55.788 Mean characters per response 81 Flesch-Kincaid grade level 6.726
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("rr98_accuracy")
# Python
pip install irw
import irw
df = irw.fetch("rr98_accuracy")
Version and provenance
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
Part of the Item Response Warehouse , IRW v393. This page describes the table as released in item_response_warehouse v53.0.