36,000 responses from 600 respondents to 60 items.
One of 6 tables from the same source. The others are listed under Related tables.
| Description | The psychometric effects of filter questions on self-reported symptom frequencies |
|---|---|
| Reference | Magnus, Brooke E. “Does Response Format Matter? the Psychometric Effects of Filter Questions on Self-reported Symptom Frequencies.” OSF, 24 June 2022. Web. |
| DOI | 10.1177/1073191120952889 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/ytv85/files/osfstorage |
| Responses | 36,000 |
|---|---|
| Respondents | 600 |
| Items | 60 |
| Response categories | 6 |
| Responses per respondent | 60 |
| Responses per item | 600 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Cognitive/educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
| construct name | The psychometric effects of filter questions on self-reported symptom frequencies |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, magnus-format.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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | made in the build script |
cov_chronicillness | Covariate | made in the build script |
cov_condition | Covariate | made in the build script |
cov_duration | Covariate | made in the build script |
cov_education | Covariate | made in the build script |
cov_ethnicity | Covariate | made in the build script |
cov_gender | Covariate | made in the build script |
cov_generalmental | Covariate | made in the build script |
cov_generalphysical | Covariate | made in the build script |
cov_preference | Covariate | made in the build script |
cov_race | 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("magnus-format-study2_2022")
# Python
pip install irw
import irw
df = irw.fetch("magnus-format-study2_2022")
@article{Williams_2020, title={Measuring Depression in Autistic Adults: Psychometric Validation of the Beck Depression Inventory–II}, volume={28}, ISSN={1552-3489}, url={http://dx.doi.org/10.1177/1073191120952889}, DOI={10.1177/1073191120952889}, number={3}, journal={Assessment}, publisher={SAGE Publications}, author={Williams, Zachary J. and Everaert, Jonas and Gotham, Katherine O.}, year={2020}, month=aug, pages={858–876} }
| IRW version | v557 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v40.0 |