face_memory_test

309,400 responses from 1,768 respondents to 175 items.

One of 23 tables from the same source; this one measures Exposure Based Face Memory Test. The others are listed under Related tables.

About this table

DescriptionData from test where participants were shown pictures of peoples' faces and asked to recall whether they had already seen it
ReferenceExposure Based Face Memory Test [dataset and codebook]. http://openpsychometrics.org/_rawdata/EBFMT.zip
LicenceCC BY 4.0
Source datahttp://openpsychometrics.org/_rawdata/

Size and shape

Responses309,400
Respondents1,768
Items175
Response categories5
Responses per respondent175
Responses per item1,768
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational, General/non-specific
construct typeCognitive/educational
measurement toolTest
item formatLikert Scale/selected response
primary language(s)eng
construct nameExposure Based Face Memory Test

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, face_memory_test.R. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).made in the build script
itemIRW standard Item identifier.item_id
respIRW standard Response value.made in the build script
rtIRW standard Response time.made in the build script

What item codes and covariate values stand for is in the source’s codebook, codebook.txt (inside EBFMT.zip).

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("face_memory_test")
# Python
pip install irw

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

How to cite

@misc{EBFMT,
  title = {Exposure Based Face Memory Test [dataset and codebook]},
  howpublished = {\\url{http://openpsychometrics.org/_rawdata/EBFMT.zip}},
  note = {Accessed via http://openpsychometrics.org/_rawdata/},
  year = {n.d.}
}

Version and provenance

IRW versionv566
Redivis datasetitem_response_warehouse v70.0
Redivis dataset DOI10.57761/4qxs-pq87
Manifest pin for this IRW versionv70.0
Metadata sourceirw_meta v43.0