horne_2021_energy_rebound

640 rated or chosen profiles from 640 respondents, in up to 1 tasks of 1 profile varying on 2 attributes.

About this table

Description640 US Prolific respondents each read one vignette of a two-child family (electricity from utility or solar panels; low or high household energy use) and rated it on 16 items (approval, neighbour and friend preference, competence, morality, environmental concern and impact).
ReferenceHorne, C., & Kennedy, E. H. (2021). Understanding the rebound: Normative evaluations of energy use in the United States. Environmental Sociology, 8(1), 64-72.
DOI10.1080/23251042.2021.1958545
LicenceCC0 1.0
Source datahttps://doi.org/10.7910/dvn/lx3sam

Notes

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

Size and shape

Respondents640
Rows (one per respondent, task and profile)640
Tasks per respondent (most)1
Profiles per task1
Attributes2

Design

Topicclimate energy environment
A profile representsperson
CountryUS
Language shownen
Language of stored levelsen
Task orderinferred from row order
Profile positioninferred from row order

Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

ratingHow much do you approve of this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very much (button labelled 10))]
rating_caringHow caring is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_common_senseHow much common sense does this family have? [rating, 1 (None (button labelled 0)) to 11 (A lot (button labelled 10))]
rating_conservingHow much energy is this family conserving? [rating, 1 (None (button labelled 0)) to 11 (A lot (button labelled 10))]
rating_env_concernGenerally speaking, how concerned about environmental issues is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_env_priorityHow much is the environment a high priority for this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very much (button labelled 10))]
rating_env_supporterTo what extent are the people in this family active supporters of environmental protection? [rating, 1 (Not at all (button labelled 0)) to 11 (Very much (button labelled 10))]
rating_ethicalHow ethical is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_friendsIf this family moved to your neighborhood, how interested would you be in being friends with them? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_harm_envHow much harm to the environment is this family causing? [rating, 1 (None (button labelled 0)) to 11 (A lot (button labelled 10))]
rating_helping_envHow much are this family's actions helping the environment? [rating, 1 (Not at all (button labelled 0)) to 11 (A lot (button labelled 10))]
rating_knowledgeableHow knowledgeable is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_moneyHow good with money is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_pleased_neighborHow pleased would you feel about this family moving in next door to you? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_problem_solvingHow good at problem solving is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]
rating_unselfishHow unselfish is this family? [rating, 1 (Not at all (button labelled 0)) to 11 (Very (button labelled 10))]

Columns

attr_electricity_sourceattr_household_usecov_agecov_educationcov_gendercov_ideology_codecov_incomeidprofileratingrating_caringrating_common_senserating_conservingrating_env_concernrating_env_priorityrating_env_supporterrating_ethicalrating_friendsrating_harm_envrating_helping_envrating_knowledgeablerating_moneyrating_pleased_neighborrating_problem_solvingrating_unselfishtasktrial_question_order

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 neededBrowse on Redivisexplore and queryCroissant 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("horne_2021_energy_rebound", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("horne_2021_energy_rebound", source="conj")

How to cite

@article{Horne_2021, title={Understanding the rebound: normative evaluations of energy use in the United States}, volume={8}, ISSN={2325-1042}, url={http://dx.doi.org/10.1080/23251042.2021.1958545}, DOI={10.1080/23251042.2021.1958545}, number={1}, journal={Environmental Sociology}, publisher={Informa UK Limited}, author={Horne, Christine and Kennedy, Emily Huddart}, year={2021}, month=Aug, pages={64–72} }

Version and provenance

IRW versionv584
Redivis datasetirw_conjoint_2 v1.4
Redivis dataset DOI10.57761/hk97-wv30
Manifest pin for this IRW versionv1.4
Metadata sourceirw_meta v44.0