15,190 responses from 1,970 respondents to 8 items.
| Description | 8 binary (0/1) self-report items on whether a US academic science/engineering faculty member holds each of 8 concealable stigmatized identities (LGBQ+, depression, anxiety, low SES, first-gen, academic struggle, disability, community-college transfer) |
|---|---|
| Reference | Busch CA, Barnes ME, et al. (2023) Women drive efforts to highlight concealable stigmatized identities in U.S. academic science and engineering. PLoS ONE. |
| DOI | 10.1371/journal.pone.0287795 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0287795.s007 |
| Responses | 15,190 |
|---|---|
| Respondents | 1,970 |
| Items | 8 |
| Response categories | 2 |
| Responses per respondent | 7.711 |
| Responses per item | 1898.750 |
| Density | 0.964 |
| Longitudinal | FALSE |
| sample | Workplace |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | eng |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Concealable stigmatized identity self-report items (Busch et al. 2023 survey of U.S. science and engineering faculty) |
|---|---|
| Mean words per item | 6.125 |
| Mean characters per item | 35.125 |
| Mean characters per response | 55.562 |
| Flesch-Kincaid grade level | 8.559 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("busch_2023_stigma")
# Python
pip install irw
import irw
df = irw.fetch("busch_2023_stigma")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |