Item Response Warehouse / Tables / motionmotion
31,800 responses from 106 respondents to 30 items.
About this table
Description Random dot motion discrimination Reference O’Brien, G., & Yeatman, J. D. (2021). Bridging sensory and language theories of dyslexia: Toward a multifactorial model. Developmental Science, 24(3), e13039. DOI 10.1111/desc.13039 Licence CC BY 4.0 Source data https://github.com/yeatmanlab/Parametric_public/blob/master/Analysis/Clean_Motion_Data.csv
Size and shape
Responses 31,800 Respondents 106 Items 30 Response categories 2 Responses per respondent 300 Responses per item 1,060 Density 10 Longitudinal FALSE
Classification
age range Mixed sample General/non-specific construct type Cognitive/educational measurement tool Observational rating item format Likert Scale/selected response primary language(s) non-verbal task construct name Random Dot Motion Discrimination Task
Item text
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
Instrument Random-dot motion discrimination task ("Space Race") Mean words per item 10 Mean characters per item 58 Mean characters per response 8 Flesch-Kincaid grade level 6.936
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("motion")
# Python
pip install irw
import irw
df = irw.fetch("motion")
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.