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 |
iditemrespwave
Or load it directly in R or Python:
# 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")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |