5,420 responses from 1,355 respondents to 4 items.
| Description | Data from a scale assessing avalanche risk awareness |
|---|---|
| Reference | Haegeli, P., Gunn, M., & Haider, W. (2012). Identifying a high-risk cohort in a complex and dynamic risk environment: Out-of-bounds skiing–an example from avalanche safety. Prevention Science, 13, 562-573 |
| DOI | 10.1007/s11121-012-0282-5 |
| Licence | GPL-2.0 |
| Source data | https://cran.r-project.org/web/packages/MPsychoR/index.html |
| Responses | 5,420 |
|---|---|
| Respondents | 1,355 |
| Items | 4 |
| Response categories | 5 |
| Responses per respondent | 4 |
| Responses per item | 1,355 |
| Density | 1 |
| Longitudinal | FALSE |
| construct name | MPsychoR: Modern Psychometrics with R |
|---|
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Preparedness items from the out-of-bounds skiing survey (Haegeli, Gunn, & Haider, 2012) |
|---|---|
| Mean words per item | 4.812 |
| Mean characters per item | 32.812 |
| Mean characters per response | 31.875 |
| Flesch-Kincaid grade level | 8.354 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mpsycho_avlancheprep")
# Python
pip install irw
import irw
df = irw.fetch("mpsycho_avlancheprep")
| 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 |