mclaughlin_samuel_2025_auditory_session_1

251 responses from 251 respondents to 1 items.

About this table

DescriptionAssessing Sandwich Builder as a measure of auditory short-term memory
ReferenceMcLaughlin, D.J., Samuel, A.G. Lettuce entertain you: Assessing Sandwich Builder as a measure of auditory short-term memory. Behav Res 57, 191 (2025). https://doi.org/10.3758/s13428-025-02707-1
DOI10.3758/s13428-025-02707-1
LicencePermission via Email
Source datahttps://osf.io/snmqt/files/osfstorage

Size and shape

Responses251
Respondents251
Items1
Response categories18
Responses per respondent1
Responses per item251
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleInternet-based
construct typeCognitive/educational
measurement toolTest
item formatSlider/continuous
primary language(s)eng
construct nameAssessing Sandwich Builder as a measure of auditory short-term memory

Columns

cov_agecov_counterbalancecov_x1_english_fluent_object_4_quantisedcov_x11_ethnicity_object_32_quantisedcov_x12_headphones_object_41_quantisedcov_x13_self_exclusion_object_42_quantisedcov_x2_english_before5_object_5_quantisedcov_x5_hearing_loss_object_103_quantisedcov_x6_language_impairment_object_104_quantisedcov_x7_neurological_impairment_object_17_quantisedcov_x9_gender_object_35_quantisediditemresp

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("mclaughlin_samuel_2025_auditory_session_1")
# Python
pip install irw

import irw
df = irw.fetch("mclaughlin_samuel_2025_auditory_session_1")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_2 v19.0
Redivis dataset DOI10.57761/qtx5-4m80
Manifest pin for this IRW versionv19.0
Metadata sourceirw_meta v23.0