9,018 rated or chosen profiles from 1,503 respondents, in up to 3 tasks of 2 profiles varying on 9 attributes.
| Description | US Prolific respondents (n=1,503) chose between two hypothetical therapists in 3 scenarios and rated each 1-7; therapists varied sex/gender, race/ethnicity, availability, session format, star rating, degree, experience and specialties, with one of three versions omitting two attributes. |
|---|---|
| Reference | McCrea, A. M., & Favero, N. (2026). Preferences for symbolic representation: Identity, context, and selection of mental health providers. International Public Management Journal, 1-21. |
| DOI | 10.1080/10967494.2026.2723042 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/A9ZLUN |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,503 |
|---|---|
| Rows (one per respondent, task and profile) | 9,018 |
| Tasks per respondent (most) | 3 |
| Profiles per task | 2 |
| Attributes | 9 |
| Tasks with no profile chosen | 0 |
| Topic | health covid |
|---|---|
| A profile represents | person |
| Country | US |
| Language shown | en |
| Language of stored levels | en |
| Randomization restrictions | observed in the data (not documented by the source): Specialty 1 and Specialty 2 never take the same level within a profile (0 of 4,524 profiles where shown); which two attributes are shown depends on the respondent's version (trial_version) |
| 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 | Which of the two therapists would you choose? (paraphrase) [choice, forced] |
|---|---|
| rating | Rating of each therapist on a 1-7 scale (paraphrase) [rating, 1 (unknown) to 7 (unknown)] |
attr_next_available_sessionattr_overall_ratingattr_professional_degreeattr_race_ethnicityattr_session_formatattr_sex_genderattr_specialty_1attr_specialty_2attr_years_of_experienceattrpos_next_available_sessionattrpos_overall_ratingattrpos_professional_degreeattrpos_race_ethnicityattrpos_session_formatattrpos_sex_genderattrpos_specialty_1attrpos_specialty_2attrpos_years_of_experiencechoicecov_agecov_current_therapycov_duration_seccov_education_codecov_employment_codecov_gendercov_income_codecov_insurance_type_codecov_insuredcov_party_codecov_race_american_indiancov_race_asiancov_race_blackcov_race_hispaniccov_race_menacov_race_not_listedcov_race_pacific_islandercov_race_prefer_notcov_race_whitecov_seen_therapistcov_sexual_orientationcov_state_codeidprofileratingtasktrial_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("mccrea_2026_therapist_choice", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("mccrea_2026_therapist_choice", source="conj")
@article{McCrea_2026, title={Preferences for symbolic representation: identity, context, and selection of mental health providers}, ISSN={1559-3169}, url={http://dx.doi.org/10.1080/10967494.2026.2723042}, DOI={10.1080/10967494.2026.2723042}, journal={International Public Management Journal}, publisher={Informa UK Limited}, author={McCrea, Austin M. and Favero, Nathan}, year={2026}, month=Sept, pages={1–21} }
| 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 |