838 responses from 419 respondents to 2 items.
| Description | 2-item perceived departmental structure scale (appropriateness of academic expectations / performance standards; 1-7) from the same survey of STEM PhD students |
|---|---|
| Reference | Fisher AJ, Mendoza-Denton R, Patt C, Young I, Eppig A, Garrell RL, et al. (2019) Structure and belonging: Pathways to success for underrepresented minority and women PhD students in STEM fields. PLoS ONE. |
| DOI | 10.1371/journal.pone.0209279 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0209279.s001 |
| Responses | 838 |
|---|---|
| Respondents | 419 |
| Items | 2 |
| Response categories | 7 |
| Responses per respondent | 2 |
| Responses per item | 419 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| 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 | Perceived departmental structure (2 items, California Alliance survey of STEM PhD students) |
|---|---|
| Mean words per item | 10.500 |
| Mean characters per item | 76 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 66.464 |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("fisher_2019_structure")
# Python
pip install irw
import irw
df = irw.fetch("fisher_2019_structure")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_3 v7.0 |
| Redivis dataset DOI | 10.57761/pqqn-pm43 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |