AOMT_BR_SF_EDPANAB_Geiger_2021_AOT

7,098 responses from 507 respondents to 14 items.

About this table

DescriptionActively Open-Minded Thinking Scale
ReferenceRachev, N. R., Geiger, S. J., Vintr, J., Kirilova, D., Nabutovsky, A., & Nelsson, J. (2022). Actively open-minded thinking, bullshit receptivity, and susceptibility to framing: Evaluating the dual-process account in North America and Bulgaria. European Journal of Psychological Assessment, 38(6), 440–451. https://doi.org/10.1027/1015-5759/a000685
DOI10.1027/1015-5759/a000685
LicenceCC BY 4.0
Source datahttps://osf.io/hx8qt/

Size and shape

Responses7,098
Respondents507
Items14
Response categories5
Responses per respondent14
Responses per item507
Density1
LongitudinalFALSE

Classification

age rangeChild (<18y)
sampleEducational
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng, bul
construct nameActively Open-Minded Thinking Scale

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentActively Open-Minded Thinking Scale
Mean words per item12.071
Mean characters per item72.071
Mean characters per response14.600
Flesch-Kincaid grade level8.389

Columns

groupiditemresp

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("AOMT_BR_SF_EDPANAB_Geiger_2021_AOT")
# Python
pip install irw

import irw
df = irw.fetch("AOMT_BR_SF_EDPANAB_Geiger_2021_AOT")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0