14,288 responses from 248 respondents to 12 items.
| Description | Item-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) |
|---|---|
| Reference | Mendes, 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 |
| DOI | 10.1038/sdata.2018.307 |
| Licence | CC0 1.0 |
| Source data | https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VMJ6NV |
| Responses | 14,288 |
|---|---|
| Respondents | 248 |
| Items | 12 |
| Response categories | 170 |
| Responses per respondent | 57.613 |
| Responses per item | 1190.667 |
| Density | 4.801 |
| Longitudinal | TRUE |
| sample | Program-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Slider/continuous |
| primary language(s) | ger |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Short Version of the New York Cognition Questionnaire (Short-NYC-Q) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 2.434 |
| Flesch-Kincaid grade level | -3.400 |
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.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW 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 |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW 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.
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("mendes_2019_snycq")
# Python
pip install irw
import irw
df = irw.fetch("mendes_2019_snycq")
@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 }
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v13.0 |
| Redivis dataset DOI | 10.57761/gpg7-sg87 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |