48,543,061 responses from 557,778 respondents to 93 items.
| Description | 2022 Federal Employee Viewpoint Survey (FEVS) microdata, 1-5 Likert (5 wording variants: agree-disagree, poor-good, dissatisfied-satisfied, never-always); N=557778, 93 items, U.S. federal employees |
|---|---|
| Reference | Emidy, M. B., Lewis, G. B., & Pizarro-Bore, X. (2024). U.S. Federal Employees With Disabilities: How Perceptions of Diversity, Equity, Inclusion, and Accessibility Affect Differences in Job Satisfaction, Organizational Commitment, and Job Involvement. Public Personnel Management. |
| DOI | 10.1177/00910260241253577 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/UXRFPV |
| Responses | 48,543,061 |
|---|---|
| Respondents | 557,778 |
| Items | 93 |
| Response categories | 5 |
| Responses per respondent | 87.029 |
| Responses per item | 521968.398 |
| Density | 0.936 |
| Longitudinal | FALSE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | 2022 U.S. Office of Personnel Management Federal Employee Viewpoint Survey (OPM FEVS) |
|---|---|
| Mean words per item | 10.462 |
| Mean characters per item | 65.602 |
| Mean characters per response | 13.794 |
| Flesch-Kincaid grade level | 10.681 |
cov_disabilityiditemresp
This table is larger than Redivis serves without a login, so download it with one of the packages below or while signed in to Redivis.
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("emidy2024_fevs")
# Python
pip install irw
import irw
df = irw.fetch("emidy2024_fevs")
| 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 |