23,740 responses from 2,373 respondents to 10 items.
| Description | Rosenberg Self-Esteem Scale |
|---|---|
| Reference | Novak, L., Malinakova, K., Tavel, P., & Sandora, J. (2021). Czech Version of the short Overall Anxiety Severity and Impairment Scale (OASIS) and the Overall Depression Severity and Impairment Scale (ODSIS): Psychometric Properties and Evaluation. |
| DOI | 10.3390/ijerph181910337 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/ad6b3/ |
| Responses | 23,740 |
|---|---|
| Respondents | 2,373 |
| Items | 10 |
| Response categories | 4 |
| Responses per respondent | 10.004 |
| Responses per item | 2,374 |
| Density | 1.000 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational, Targeted/specific |
| construct type | Affective/mental health |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | cze |
| construct name | Rosenberg's Self-Esteem Scale, Czech Version |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Rosenberg Self-Esteem Scale (RSES) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 11 |
| Flesch-Kincaid grade level | -3.400 |
groupiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("CV_OASIS_ODSIS_PPE_Novak_2020_RSES")
# Python
pip install irw
import irw
df = irw.fetch("CV_OASIS_ODSIS_PPE_Novak_2020_RSES")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse v53.0 |
| Redivis dataset DOI | 10.57761/4g08-xt41 |
| Manifest pin for this IRW version | v53.0 |
| Metadata source | irw_meta v23.0 |