12,180 responses from 1,218 respondents to 10 items.
| Description | Cross-cultural validation of the Decision Styles Scale in Brazil |
|---|---|
| Reference | G.S. Mouta, A.L.C.B. Pinto, L.F. Malloy-Diniz, R.S. Pasian, Cross-cultural adaptation, and factor structure of the decision styles scale for Brazil, Current Research in Behavioral Sciences, Volume 2, 2021,100039, ISSN 2666-5182. |
| DOI | 10.1016/j.crbeha.2021.100039 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/4xz8s/ |
| Responses | 12,180 |
|---|---|
| Respondents | 1,218 |
| Items | 10 |
| Response categories | 5 |
| Responses per respondent | 10 |
| Responses per item | 1,218 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Targeted/specific |
| construct type | Personality |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | por |
| construct name | Decision Styles Scale in Brazil |
cov_agecov_edu_yearscov_ses_classcov_ses_scorecov_sexcov_stateiditemitemcov_constructresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("dss_mouta_2021")
# Python
pip install irw
import irw
df = irw.fetch("dss_mouta_2021")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |