1,644 responses from 178 respondents to 6 items.
One of 6 tables from the same source; this one is the cognition table. The others are listed under Related tables.
| Description | Data for: Reliable Change Index of WHODAS 2.0 in patients with mental health disorders: results of applying Classical Test Theory and Rasch models. IRW table lozano_2018_cognition: 178 respondents x 6 items, 1644 responses. |
|---|---|
| Reference | Lozano, O.; Cupani, M.; Moraleda, E.; Delgado Rico, E.; Caceres-Pachon, P.; Mancheno, J. (2018). Data for: Reliable Change Index of WHODAS 2.0 in patients with mental health disorders: results of applying Classical Test Theory and Rasch models. Mendeley Data, V1. |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/3fhcxn3zd3 |
| Responses | 1,644 |
|---|---|
| Respondents | 178 |
| Items | 6 |
| Response categories | 5 |
| Responses per respondent | 9.236 |
| Responses per item | 274 |
| Density | 1.539 |
| Longitudinal | TRUE |
| sample | Clinical |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | spa |
This codebook is reconstructed by the IRW from the IRW data standard. 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). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
wave | IRW standard Longitudinal wave indicator. | not traced |
| Respondent covariates | ||
cov_followup | Covariate 0 = No · 1 = Sí | not traced |
Covariate value labels are the source’s own, as the IRW recorded them. What item codes and any unlabelled values stand for is in the codebook released with the source data.
Or load it directly in R or Python:
# R (no account needed)
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("lozano_2018_cognition")
# Python (needs a free Redivis account)
pip install irw
import irw
df = irw.fetch("lozano_2018_cognition")
@misc{https://doi.org/10.17632/3fhcxn3zd3,
doi = {10.17632/3FHCXN3ZD3},
url = {https://data.mendeley.com/datasets/3fhcxn3zd3},
author = {Lozano, Oscar},
keywords = {Psychology, FOS: Psychology},
title = {Data for: Reliable Change Index of WHODAS 2.0 in patients with mental health disorders: results of applying Classical Test Theory and Rasch models},
publisher = {Mendeley},
year = {2019}
}
| IRW version | v540 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v8.0 |
| Redivis dataset DOI | 10.57761/dkjz-6x68 |
| Manifest pin for this IRW version | v8.0 |
| Metadata source | irw_meta v37.0 |