10,817 responses from 181 respondents to 20 items.
One of 2 tables from the same source; this one is the trait table. The others are listed under Related tables.
| Description | STAI Form Y-2 (trait anxiety), 20 items, 1-4, at three periods. 181 respondents x 20 items = 10817 responses. |
|---|---|
| Reference | Alloubani, A. (2021). Anxiety Level among Newly Hired Nurse in a Specialized Oncology Hospital [Data set]. Harvard Dataverse. https://doi.org/10.7910/DVN/OSXHWE |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/OSXHWE |
| Responses | 10,817 |
|---|---|
| Respondents | 181 |
| Items | 20 |
| Response categories | 4 |
| Responses per respondent | 59.762 |
| Responses per item | 540.850 |
| Density | 2.988 |
| Longitudinal | TRUE |
| age range | Adult (18+) |
|---|---|
| sample | Workplace |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ara |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, alloubani_2021_stai.py. 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). | made in the build script |
item | IRW standard Item identifier. | made in the build script |
resp | IRW standard Response value. | made in the build script |
wave | IRW standard Longitudinal wave indicator. | made in the build script |
| Respondent covariates | ||
cov_age | Covariate | age |
cov_education | Covariate 0 = bachelor degree · 1 = master | eduationalbakground |
cov_experience_months | Covariate | pastexperience |
cov_gender | Covariate 0 = male · 1 = female | gender |
cov_marital_status | Covariate 0 = sigle · 1 = married | Materialstatus |
cov_nationality | Covariate 0 = jordanian · 1 = non | nationality |
cov_unit | Covariate 23 labelled values0 = ER · 1 = Pallative · 2 = AICU · 3 = Surgical · 4 = medical-surgical / 3 · 5 = medical · 6 = VIP / 5 · 7 = Pediatric · 8 = ped ICU · 9 = BMT · 10 = Medical-surgical / 8 · 11 = leukemia · 12 = hemodialysis · 13 = supervisior · 14 = coordinator · 15 = raidotherapy · 16 = ped er · 17 = walkin · 18 = ped ctx · 19 = adult ctx · 20 = endoscopy · 21 = ped daycase · 22 = resigned | nursingunit |
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 (both need a free Redivis account; the first call opens a browser to sign in):
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("alloubani_2021_stai_trait")
# Python
pip install irw
import irw
df = irw.fetch("alloubani_2021_stai_trait")
@misc{https://doi.org/10.7910/dvn/osxhwe,
doi = {10.7910/DVN/OSXHWE},
url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/OSXHWE},
author = {Alloubani, Aladeen},
keywords = {Medicine, Health and Life Sciences},
title = {Anxiety Level among Newly Hired Nurse in a Specialized Oncology Hospital},
publisher = {Harvard Dataverse},
year = {2021}
}
| IRW version | v566 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v13.0 |
| Redivis dataset DOI | 10.57761/w8zx-td92 |
| Manifest pin for this IRW version | v13.0 |
| Metadata source | irw_meta v43.0 |