DMCT_Addis_2020_MCT

4,048 responses from 92 respondents to 44 items.

About this table

DescriptionImagery comparisons task
ReferenceSuggate, S.P. Beyond self-report: Measuring visual, auditory, and tactile mental imagery using a mental comparison task. Behav Res 56, 8658–8676 (2024). https://doi.org/10.3758/s13428-024-02496-z
DOI10.3758/s13428-024-02496-z
LicenceMIT
Source datahttps://osf.io/vf27z/?view_only=43c4db49648f428c914ebdcc4e191f27

Size and shape

Responses4,048
Respondents92
Items44
Response categories2
Responses per respondent44
Responses per item92
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeCognitive/educational
measurement toolSurvey/questionnaire
item formatMixed
primary language(s)ger
construct nameMeasuring visual, auditory, and tactile mental imagery using a mental comparison task

Columns

iditemresprt

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("DMCT_Addis_2020_MCT")
# Python
pip install irw

import irw
df = irw.fetch("DMCT_Addis_2020_MCT")

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