13,937 responses from 1,267 respondents to 11 items.
| Description | Eleven enrollment motives for doctoral study, dummy coded 1 = selected / 0 = not selected; they are the options of one multiple-choice question, which the source itself analyses as eleven binary indicators via latent class analysis. Russian doctoral students from a nationwide survey. 13,937 responses from 1,267 respondents on 11 items. |
|---|---|
| Reference | Smirnov, N.; Tarasova, E. (2025). Motivation matters: How enrollment motives shape doctoral experiences and career aspirations. PLOS ONE, 20(9), e0330679. https://doi.org/10.1371/journal.pone.0330679 |
| DOI | 10.1371/journal.pone.0330679 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0330679 |
| Responses | 13,937 |
|---|---|
| Respondents | 1,267 |
| Items | 11 |
| Response categories | 2 |
| Responses per respondent | 11 |
| Responses per item | 1,267 |
| Density | 1 |
| Longitudinal | FALSE |
cov_career_aspirationscov_employment_statuscov_field_of_studycov_fundingcov_gendercov_leading_universitycov_marital_statuscov_satisfactioncov_study_formcov_trajectoryiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("smirnov_2025_enrollment_motives")
# Python
pip install irw
import irw
df = irw.fetch("smirnov_2025_enrollment_motives")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |