706 responses from 353 respondents to 2 items.
| Description | 2-item sense-of-belonging scale (feel accepted / feel insignificant in STEM settings; 1-6) from a survey of underrepresented minority and women 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 | 706 |
|---|---|
| Respondents | 353 |
| Items | 2 |
| Response categories | 6 |
| Responses per respondent | 2 |
| Responses per item | 353 |
| 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 | California Alliance graduate student survey (sense of belonging items) |
|---|---|
| Mean words per item | 14 |
| Mean characters per item | 88.500 |
| Mean characters per response | 2 |
| Flesch-Kincaid grade level | 13.470 |
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_belonging")
# Python
pip install irw
import irw
df = irw.fetch("fisher_2019_belonging")
| 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 |