6,490 rated or chosen profiles from 375 respondents, in up to 18 tasks of 1 profile varying on 8 attributes.
| Description | Active alpine skiers at a large ski area in Inland Norway rated 18 fixed ski-day scenarios each, described by weekday, lift-pass price, period, weather, temperature, wind, share of slopes open and queue time. 375 respondents, 6,490 single-profile ratings (0-100). |
|---|---|
| Reference | Haugom, E., Malasevska, I., & Lien, G. (2021). The relative importance of ski resort- and weather-related characteristics when going alpine skiing: data from a rating-based conjoint survey [Data set]. Mendeley Data. |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.17632/6w4tzrs3yw |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 375 |
|---|---|
| Rows (one per respondent, task and profile) | 6,490 |
| Tasks per respondent (most) | 18 |
| Profiles per task | 1 |
| Attributes | 8 |
| Topic | consumer products |
|---|---|
| A profile represents | product service |
| Country | NO |
| Language shown | unknown |
| Language of stored levels | en |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| rating | unknown (no question wording in the deposit); rating of the scenario, 0-100 [rating, 0 (unknown) to 100 (unknown)] |
|---|
attr_periodattr_priceattr_queue_timeattr_slopes_openattr_temperatureattr_weatherattr_weekdayattr_windcov_agecov_genderidprofileratingtasktrial_version
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
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("haugom_2021_ski_resort", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("haugom_2021_ski_resort", source="conj")
@misc{https://doi.org/10.17632/6w4tzrs3yw,
doi = {10.17632/6W4TZRS3YW},
url = {https://data.mendeley.com/datasets/6w4tzrs3yw},
author = {Haugom, Erik},
keywords = {Leisure-Time Physical Activity, Recreation Industry, Leisure Management},
title = {The relative importance of ski resort- and weather-related characteristics when going alpine skiing: data from a rating-based conjoint survey},
publisher = {Mendeley},
year = {2021}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint_2 v1.4 |
| Redivis dataset DOI | 10.57761/hk97-wv30 |
| Manifest pin for this IRW version | v1.4 |
| Metadata source | irw_meta v44.0 |