16,884 responses from 469 respondents to 36 items.
| Description | SGI measures the ability to filter redundant or irrelevant environmental stimuli, relevant for general and clinical Dutch-speaking populations. |
|---|---|
| Reference | Brinkmann, P., Stolte, M., Devos, J. V., Janssen, M. L., Schwartze, M., & Kotz, S. A. (2025). Validation of the Dutch Sensory Gating Inventory (D-SGI): Psychometric properties and a Confirmatory factor analysis. Applied Neuropsychology: Adult, 32(4), 1064-1073. |
| DOI | 10.1080/23279095.2023.2235453 |
| Licence | CC BY-NC 4.0 |
| Source data | https://dataverse.nl/dataset.xhtml?persistentId=doi:10.34894/PT7SIX |
| Responses | 16,884 |
|---|---|
| Respondents | 469 |
| Items | 36 |
| Response categories | 6 |
| Responses per respondent | 36 |
| Responses per item | 469 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Internet-based |
| construct type | Other |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
| construct name | Dutch Sensory Gating Inventory |
iditemresp
Licence: CC BY-NC 4.0 — non-commercial use only.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dsgi_brinkmann_2022")
# Python
pip install irw
import irw
df = irw.fetch("dsgi_brinkmann_2022")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |