mendes_2019_snycq

14,288 responses from 248 respondents to 12 items.

About this table

DescriptionItem-level Short New York Cognition Questionnaire (SNYCQ, 12 dimensions, 0-100 continuous VAS) from the MPI-Leipzig Mind-Brain-Body functional connectome dataset; 248 respondents across 7 pre/post-scan administrations (wave)
ReferenceMendes, N., Oligschläger, S., Lauckner, M.E. et al. (2019). A functional connectome phenotyping dataset including cognitive state and personality measures. Scientific Data, 6, 180307. https://doi.org/10.1038/sdata.2018.307
DOI10.1038/sdata.2018.307
LicenceCC0 1.0
Source datahttps://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VMJ6NV

Size and shape

Responses14,288
Respondents248
Items12
Response categories170
Responses per respondent57.613
Responses per item1190.667
Density4.801
LongitudinalTRUE

Classification

sampleProgram-based
measurement toolSurvey/questionnaire
item formatSlider/continuous
primary language(s)ger

These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.

This table is in 1 collection. Each membership records how it was decided:

Membership is the IRW’s judgment and is worth checking before you use a collection as a sample. A hand-curated list is a snapshot: it is not re-checked when tables are added, so a table that would qualify may be missing. See Collections.

Item text

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

InstrumentShort Version of the New York Cognition Questionnaire (Short-NYC-Q)
Mean words per item1
Mean characters per item2
Mean characters per response2.434
Flesch-Kincaid grade level-3.400

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, mendes_2019_snycq.py. 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).participant_id
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
waveIRW standard Longitudinal wave indicator.made in the build script

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

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

Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("irw")
library(irw)
df <- irw_fetch("mendes_2019_snycq")
# Python
pip install irw

import irw
df = irw.fetch("mendes_2019_snycq")

Or in Stata, which reads the same no-account CSV as the button above:

* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")

irw_fetch mendes_2019_snycq, clear

How to cite

@article{Mendes_2019, title={A functional connectome phenotyping dataset including cognitive state and personality measures}, volume={6}, ISSN={2052-4463}, url={http://dx.doi.org/10.1038/sdata.2018.307}, DOI={10.1038/sdata.2018.307}, number={1}, journal={Scientific Data}, publisher={Springer Science and Business Media LLC}, author={Mendes, Natacha and Oligschläger, Sabine and Lauckner, Mark E. and Golchert, Johannes and Huntenburg, Julia M. and Falkiewicz, Marcel and Ellamil, Melissa and Krause, Sarah and Baczkowski, Blazej M. and Cozatl, Roberto and Osoianu, Anastasia and Kumral, Deniz and Pool, Jared and Golz, Laura and Dreyer, Maria and Haueis, Philipp and Jost, Rebecca and Kramarenko, Yelyzaveta and Engen, Haakon and Ohrnberger, Katharina and Gorgolewski, Krzysztof J. and Farrugia, Nicolas and Babayan, Anahit and Reiter, Andrea and Schaare, H. Lina and Reinelt, Janis and Röbbig, Josefin and Uhlig, Marie and Erbey, Miray and Gaebler, Michael and Smallwood, Jonathan and Villringer, Arno and Margulies, Daniel S.}, year={2019}, month=Feb }

Version and provenance

IRW versionv674
Redivis datasetitem_response_warehouse_3 v15.0
Redivis dataset DOI10.57761/6rg4-6f73
Manifest pin for this IRW versionv15.0
Metadata sourceirw_meta v59.0