mclaughlin_samuel_2025_auditory_session_2
17,347 responses from 209 respondents to 43 items.
About this table
| Description | Assessing Sandwich Builder as a measure of auditory short-term memory and Auditory speech perception test (speech transcription accuracy) |
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| Reference | McLaughlin, 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 |
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| DOI | 10.3758/s13428-025-02707-1 |
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| Licence | Permission via Email |
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| Source data | https://osf.io/snmqt/files/osfstorage |
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Size and shape
| Responses | 17,347 |
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| Respondents | 209 |
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| Items | 43 |
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| Response categories | 76 |
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| Responses per respondent | 83 |
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| Responses per item | 403.419 |
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| Density | 1.930 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| sample | Internet-based |
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| construct type | Cognitive/educational |
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| measurement tool | Test |
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| item format | Constructed Response |
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| primary language(s) | eng |
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| construct name | Assessing Sandwich Builder as a measure of auditory short-term memory and Auditory speech perception test (speech transcription accuracy) |
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Columns
iditemitemcov_response_typeitemcov_talkerresptrial_index
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("mclaughlin_samuel_2025_auditory_session_2")
# Python
pip install irw
import irw
df = irw.fetch("mclaughlin_samuel_2025_auditory_session_2")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_2 v19.0 |
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| Redivis dataset DOI | 10.57761/qtx5-4m80 |
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| Manifest pin for this IRW version | v19.0 |
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| Metadata source | irw_meta v23.0 |
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