11,960 responses from 920 respondents to 13 items.
| Description | Self-care appraisal in nursing assistant students: Appraisal of Self-Care Agency (ASA-A) and Sense of Coherence (SOC-13) |
|---|---|
| Reference | Colomer-Perez, N., Useche, S. A. et al. (2021). Self-care appraisal in nursing assistant students: Adaptation, validation, and evaluation of the influencing sociodemographic factors. PLOS ONE. https://doi.org/10.1371/journal.pone.0260827 |
| DOI | 10.1371/journal.pone.0260827 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0260827 |
| Responses | 11,960 |
|---|---|
| Respondents | 920 |
| Items | 13 |
| Response categories | 7 |
| Responses per respondent | 13 |
| Responses per item | 920 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| primary language(s) | spa |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Sense of Coherence Scale, 13-item short form (SOC-13; Antonovsky's Orientation to Life Questionnaire) |
|---|---|
| Mean words per item | 1 |
| Mean characters per item | 2 |
| Mean characters per response | 6.560 |
| Flesch-Kincaid grade level | -3.400 |
cov_agecov_sexiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("colomer_perez_2021_soc13")
# Python
pip install irw
import irw
df = irw.fetch("colomer_perez_2021_soc13")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |