Item Response Warehouse / Tables / randomness_angelike_2024_ncsrandomness_angelike_2024_ncs
5,010 responses from 835 respondents to 6 items.
About this table
Description Need for Cognition Reference Angelike, T., & Musch, J. (2024, September 18). A Comparative Evaluation of Measures to Assess Randomness in Human-Generated Sequences. Retrieved from osf.io/xwzup DOI 10.3758/s13428-024-02456-7 Licence CC BY 4.0 Source data https://osf.io/xwzup/overview
Size and shape
Responses 5,010 Respondents 835 Items 6 Response categories 5 Responses per respondent 6 Responses per item 835 Density 1 Longitudinal FALSE
Classification
age range Adult (18+) sample Internet-based construct type Personality measurement tool Survey/questionnaire item format Likert Scale/selected response primary language(s) ger construct name Need for Cognition
Columns
cov_age cov_education_level cov_gender cov_knows_entropy cov_last_math_grade cov_science_student cov_stochastics_in_school cov_stochastics_in_uni id item resp
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("randomness_angelike_2024_ncs")
# Python
pip install irw
import irw
df = irw.fetch("randomness_angelike_2024_ncs")
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.