sandoval-Lentisco-impostor-scale-2020
23,305 responses from 271 respondents to 86 items.
About this table
| Description | Psychometric properties of the Spanish Clance Impostor Scale (S-CIPS) |
|---|
| Licence | CC BY 4.0 |
|---|
| Source data | https://osf.io/yuwqx/files/osfstorage |
|---|
Size and shape
| Responses | 23,305 |
|---|
| Respondents | 271 |
|---|
| Items | 86 |
|---|
| Response categories | 6 |
|---|
| Responses per respondent | 85.996 |
|---|
| Responses per item | 270.988 |
|---|
| Density | 1.000 |
|---|
| Longitudinal | FALSE |
|---|
Classification
| age range | Mixed |
|---|
| sample | Targeted/specific |
|---|
| construct type | Opinion/attitude |
|---|
| measurement tool | Survey/questionnaire |
|---|
| item format | Likert Scale/selected response |
|---|
| primary language(s) | eng |
|---|
| construct name | Spanish Clance Impostor Scale |
|---|
Columns
cov_cursocov_edadcov_estudioscov_generoiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("sandoval-Lentisco-impostor-scale-2020")
# Python
pip install irw
import irw
df = irw.fetch("sandoval-Lentisco-impostor-scale-2020")
Version and provenance
| IRW version | v393 |
|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
|---|
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
|---|
| Manifest pin for this IRW version | v19.0 |
|---|
| Metadata source | irw_meta v23.0 |
|---|