1,600 responses from 400 respondents to 4 items.
| Description | 4-item attitude scale (agree/disagree) toward Basic Life Support/CPR, survey of practicing dentists (n=400), Saudi Arabia |
|---|---|
| Reference | Khattak O, Ehsan A, Khalid AA, Iqbal A, Chaudhary FA, Baig MN, Alsharari T, Memon MR (2026). Assessment of clinical readiness, knowledge and attitude, regarding Basic Life Support (BLS) and cardiopulmonary resuscitation (CPR) skill among dentists practicing in Saudi Arabia. PeerJ. |
| DOI | 10.7717/peerj.21098 |
| Licence | CC BY 4.0 |
| Source data | https://europepmc.org/article/PMC/PMC13156951 |
| Responses | 1,600 |
|---|---|
| Respondents | 400 |
| Items | 4 |
| Response categories | 2 |
| Responses per respondent | 4 |
| Responses per item | 400 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Internet-based, Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ara |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Attitude towards BLS and CPR (Section Three of the study's BLS/CPR survey questionnaire) |
|---|---|
| Mean words per item | 8.750 |
| Mean characters per item | 52.250 |
| Mean characters per response | 6.500 |
| Flesch-Kincaid grade level | 9.062 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("khattak_2026_attitude")
# Python
pip install irw
import irw
df = irw.fetch("khattak_2026_attitude")
| 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 |