4,798 responses from 264 respondents to 16 items.
One of 2 tables from the same source; this one measures Balance confidence (ABC scale). The others are listed under Related tables.
| Description | Activities-specific Balance Confidence scale (16 items, 0-100 in steps of 10) self-reported by 264 persons with multiple sclerosis at two Italian rehabilitation centres (300 assessments; wave = assessment number). |
|---|---|
| Reference | Caselli, S., Sabattini, L., Cattaneo, D., Jonsdottir, J., Brichetto, G., Pozzi, S., Lugaresi, A., & La Porta, F. (2023). When 'good' is not good enough: a retrospective Rasch analysis study of the Berg Balance Scale for persons with Multiple Sclerosis. Frontiers in Neurology, 14, 1171163. https://doi.org/10.3389/fneur.2023.1171163 |
| DOI | 10.3389/fneur.2023.1171163 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.5281/zenodo.8029702 |
| Responses | 4,798 |
|---|---|
| Respondents | 264 |
| Items | 16 |
| Response categories | 11 |
| Responses per respondent | 18.174 |
| Responses per item | 299.875 |
| Density | 1.136 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical, Targeted/specific |
| construct type | Physical health/functioning |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Balance confidence (ABC scale) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, caselli_2023_bbs.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 |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | Age |
cov_center | Covariate | DB |
cov_edss | Covariate | EDSS |
cov_falls | Covariate | Falls |
cov_gender | Covariate | Gender |
cov_ms_type | Covariate | Ms_type |
cov_years_since_onset | Covariate | Years_after_onset |
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("caselli_2023_abc")
# Python
pip install irw
import irw
df = irw.fetch("caselli_2023_abc")
@article{Caselli_2023, title={When ‘good’ is not good enough: a retrospective Rasch analysis study of the Berg Balance Scale for persons with Multiple Sclerosis}, volume={14}, ISSN={1664-2295}, url={http://dx.doi.org/10.3389/fneur.2023.1171163}, DOI={10.3389/fneur.2023.1171163}, journal={Frontiers in Neurology}, publisher={Frontiers Media SA}, author={Caselli, Serena and Sabattini, Loredana and Cattaneo, Davide and Jonsdottir, Johanna and Brichetto, Giampaolo and Pozzi, Stefania and Lugaresi, Alessandra and La Porta, Fabio}, year={2023}, month=June }
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_6 v5.11 |
| Redivis dataset DOI | 10.57761/qahq-j855 |
| Manifest pin for this IRW version | v5.11 |
| Metadata source | irw_meta v44.0 |