17,078 responses from 814 respondents to 14 items.
One of 2 tables from the same source; this one measures Balance (Berg Balance Scale). The others are listed under Related tables.
| Description | Berg Balance Scale (14 items, 0-4, physiotherapist-rated) for 814 persons with multiple sclerosis at three Italian rehabilitation centres, 1-3 assessments each (1,220 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 | 17,078 |
|---|---|
| Respondents | 814 |
| Items | 14 |
| Response categories | 5 |
| Responses per respondent | 20.980 |
| Responses per item | 1219.857 |
| Density | 1.499 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Clinical, Targeted/specific |
| construct type | Physical health/functioning |
| measurement tool | Observational rating |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
| construct name | Balance (Berg Balance 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_bbs")
# Python
pip install irw
import irw
df = irw.fetch("caselli_2023_bbs")
@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 |