8,168 rated or chosen profiles from 1,021 respondents, in up to 4 tasks of 2 profiles varying on 10 attributes.

About this table

Description	Adult residents of the canton of Zurich sampled by the cantonal Statistical Office (n = 1,021, online, 2020) compared 4 pairs of battery-electric cars with randomized price, range, running and maintenance costs, charging time and guarantee, battery warranty, purchase subsidy and car/rail-pass exchange offers; they chose one car and said whether they would buy each.
Reference	Bernauer, T., Brückmann, G., Quoß, F., & Wicki, M. (2022). Registered design for survey experiment: Decision behaviour when purchasing electric vehicles [Data set]. Harvard Dataverse.
Licence	CC0 1.0
Source data	https://doi.org/10.7910/DVN/NAAVVP

Notes

Conjoint table (irw_conjoint). choice: "Wenn Sie sich für eines der beiden Autos entscheiden müssten, welches Auto würden Sie kaufen?" (forced, no opt-out); rating: "Würden Sie Auto A/B kaufen?" Ja = 1, Nein = 0. Levels independently randomized; German text as stored. trial_group records the source's two survey versions (Conjoint Pos / Neg), whose difference is not documented.

These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.

Size and shape

Respondents	1,021
Rows (one per respondent, task and profile)	8,168
Tasks per respondent (most)	4
Profiles per task	2
Attributes	10
Tasks with no profile chosen	0

Design

Topic	consumer products
A profile represents	product service
Country	CH
Language shown	de
Language of stored levels	de
Task order	recorded in the deposit
Profile position	recorded in the deposit

Outcomes:

choice	Wenn Sie sich für eines der beiden Autos entscheiden müssten, welches Auto würden Sie kaufen? [choice, forced]
rating	Würden Sie Auto A kaufen? / Würden Sie Auto B kaufen? [rating, 0 (Nein) to 1 (Ja)]

Columns

attr_battery_warrantyattr_car_exchangeattr_charging_guaranteeattr_charging_timeattr_energy_costattr_maintenance_costattr_pt_day_passattr_purchase_priceattr_rangeattr_subsidychoicecov_agecov_duration_seccov_educationcov_gendercov_pt_subscriptionidprofileratingtasktrial_group

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.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

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("bernauer_2022_ev_purchase_zurich", source = "conj")

# Python
pip install irw

import irw
df = irw.fetch("bernauer_2022_ev_purchase_zurich", source="conj")

How to cite

@misc{https://doi.org/10.7910/dvn/naavvp,
  doi = {10.7910/DVN/NAAVVP},
  url = {https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/NAAVVP},
  author = {Bernauer, Thomas and Brückmann, Gracia and Quoß, Franziska and Wicki, Michael},
  keywords = {Social Sciences, BEV, electrification, conjoint, vignette, purchasing behavior, battery electric vehicle},
  title = {Registered Design for Survey Experiment: Decision Behaviour when Purchasing Electric Vehicles},
  publisher = {Harvard Dataverse},
  year = {2020}
}

Version and provenance

IRW version	v584
Redivis dataset	irw_conjoint v4.2
Redivis dataset DOI	10.57761/qkye-q530
Manifest pin for this IRW version	v4.2
Metadata source	irw_meta v44.0