lewis_2019_coho_salmon

5,468 rated or chosen profiles from 926 respondents, in up to 3 tasks of 2 profiles varying on 5 attributes.

About this table

DescriptionChoice experiment: 926 Pacific Northwest households (2017 mail survey, Oregon oversampled) chose between the status quo and two Oregon Coast Coho salmon recovery programs (ESA status, returning fish, rate of increase, fishing regulations, annual cost); up to 3 questions each.
ReferenceLewis, D. J., Dundas, S. J., Kling, D. M., Lew, D. K., & Hacker, S. D. (2019). The non-market benefits of early and partial gains in managing threatened salmon. PLOS ONE, 14(8), e0220260.
DOI10.1371/journal.pone.0220260
LicenceCC BY 4.0
Source datahttps://doi.org/10.6084/m9.figshare.7869299

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

Respondents926
Rows (one per respondent, task and profile)5,468
Tasks per respondent (most)3
Profiles per task2
Attributes5
Tasks with no profile chosen425

Design

Topicclimate energy environment
A profile representspolicy
CountryUS
Language shownen
Language of stored levelsen
Randomization restrictionsyes (stated by the source): The paper uses a D0-optimal design with permissible combinations of attribute levels only (S1 Text Table A, not read); e.g. an ESA status of Threatened never occurs with 525,000 fish and Endangered never with 250,000.
Task orderinferred from row order
Profile positionrecorded in the deposit

Because the attribute levels were not randomized independently, an estimator has to account for the restriction; a plain difference in means across levels can mislead. Task order or profile position was rebuilt from row order; analyses of position or task order should leave it out.

Outcomes:

choiceChoose the status quo, program A or program B (paraphrase) [choice, opt-out allowed]

Columns

attr_annual_costattr_esa_statusattr_fishing_regulationsattr_rate_of_increaseattr_returning_fish_50yrchoicecov_agecov_ever_fishedcov_gendercov_household_income_usdcov_statecov_survey_weightidprofiletask

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("lewis_2019_coho_salmon", source = "conj")
# Python
pip install irw

import irw
df = irw.fetch("lewis_2019_coho_salmon", source="conj")

How to cite

@article{Lewis_2019, title={The non-market benefits of early and partial gains in managing threatened salmon}, volume={14}, ISSN={1932-6203}, url={http://dx.doi.org/10.1371/journal.pone.0220260}, DOI={10.1371/journal.pone.0220260}, number={8}, journal={PLOS ONE}, publisher={Public Library of Science (PLoS)}, author={Lewis, David J. and Dundas, Steven J. and Kling, David M. and Lew, Daniel K. and Hacker, Sally D.}, editor={Espinola-Arredondo, Ana}, year={2019}, month=Aug, pages={e0220260} }

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