64,088 rated or chosen profiles from 2,004 respondents, in up to 16 tasks of 2 profiles varying on 6 attributes.
| Description | German online-panel respondents (Norstat, Nov 2019; n=2,004) chose in 16 fixed choice sets between two online therapy programmes varying introductory training, human contact, proven effectiveness, peer support, mode of content delivery and monthly price; forced choice (DCE). |
|---|---|
| Reference | Phillips, E. A., Himmler, S. F., & Schreyögg, J. (2021). Preferences for e-mental health interventions in Germany: A discrete choice experiment. Value in Health, 24(3), 421-430. |
| DOI | 10.1016/j.jval.2020.09.018 |
| Licence | CC BY 4.0 |
| Source data | https://osf.io/af2rw/ |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 2,004 |
|---|---|
| Rows (one per respondent, task and profile) | 64,088 |
| Tasks per respondent (most) | 16 |
| Profiles per task | 2 |
| Attributes | 6 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | product service |
| Country | DE |
| Language shown | de |
| Language of stored levels | de |
| Randomization restrictions | yes (stated by the source): fixed design: the same 16 choice sets (Bayesian D-efficient fractional factorial, JMP, one block) for every respondent, so only those 32 profiles occur; level shares fixed by the design (e.g. price 0 EUR 9.4%, 69,90 EUR 34.4%, 99,90 EUR 31.2%, 179,90 EUR 25.0%; contact Per Telefon 25%, Kein Kontakt 16%) |
| Task order | recorded in the deposit |
| Profile position | recorded 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.
Outcomes:
| choice | Bitte wählen Sie eine der beiden Varianten eines Online-Therapieprogramms, die Sie bevorzugen würden: [choice, forced] |
|---|
attr_contactattr_contentattr_effectivenessattr_peer_supportattr_priceattr_trainingchoicecov_agecov_educationcov_financial_satisfactioncov_gendercov_k6_1cov_k6_2cov_k6_3cov_k6_4cov_k6_5cov_k6_6cov_occupation_fieldcov_online_program_usedcov_online_therapy_acceptablecov_psychotherapy_effectivenesscov_psychotherapy_experiencecov_social_media_usecov_survey_difficultyidprofiletasktrial_c_0001
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("phillips_2021_emental_health", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("phillips_2021_emental_health", source="conj")
@article{Phillips_2021, title={Preferences for e-Mental Health Interventions in Germany: A Discrete Choice Experiment}, volume={24}, ISSN={1098-3015}, url={http://dx.doi.org/10.1016/j.jval.2020.09.018}, DOI={10.1016/j.jval.2020.09.018}, number={3}, journal={Value in Health}, publisher={Elsevier BV}, author={Phillips, Elena A. and Himmler, Sebastian F. and Schreyögg, Jonas}, year={2021}, month=Mar, pages={421–430} }
| 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 |