33,077 responses from 636 respondents to 25 items.
One of 6 tables from the same source; this one is the cfq table. The others are listed under Related tables.
| Description | Cognitive Failures Questionnaire (Dutch CFQ), 25 items rated 0 (never) to 4 (very often) for the past month, 'not applicable' left missing; adults aged 65+ in Flanders, Belgium, surveyed online during the COVID-19 pandemic at T1 (May-June 2020, N=640), T2 (June-July 2020) and T3 (December 2020) (N=371 longitudinal completers). 33,077 responses from 636 respondents on 25 items over 3 waves. |
|---|---|
| Reference | De Pue S, Gillebert C, Dierckx E, Van den Bussche E (2023). The longer-term impact of the COVID-19 pandemic on wellbeing and subjective cognitive functioning of older adults in Belgium. Scientific Reports, 13, 9708. https://doi.org/10.1038/s41598-023-36718-9 |
| DOI | 10.1038/s41598-023-36718-9 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/vfwus/ |
| Responses | 33,077 |
|---|---|
| Respondents | 636 |
| Items | 25 |
| Response categories | 5 |
| Responses per respondent | 52.008 |
| Responses per item | 1323.080 |
| Density | 2.080 |
| Longitudinal | TRUE |
| sample | Internet-based |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | dut |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, depue_2023_covid_older_adults.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 |
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 |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_cohabitants | Covariate | made in the build script |
cov_education | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_hx_dementia | Covariate | made in the build script |
cov_hx_diabetes | Covariate | made in the build script |
cov_hx_epilepsy | Covariate | made in the build script |
cov_hx_parkinson | Covariate | made in the build script |
cov_hx_stroke | Covariate | made in the build script |
cov_income | Covariate | made in the build script |
cov_living_situation | Covariate | made in the build script |
cov_work_situation | Covariate | 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("depue_2023_cfq")
# Python
pip install irw
import irw
df = irw.fetch("depue_2023_cfq")
@article{De_Pue_2023, title={The longer-term impact of the COVID-19 pandemic on wellbeing and subjective cognitive functioning of older adults in Belgium}, volume={13}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-023-36718-9}, DOI={10.1038/s41598-023-36718-9}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={De Pue, Sarah and Gillebert, Céline and Dierckx, Eva and Van den Bussche, Eva}, year={2023}, month=June }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.10 |
| Redivis dataset DOI | 10.57761/8zbf-t397 |
| Manifest pin for this IRW version | v5.10 |
| Metadata source | irw_meta v40.0 |