108,399 responses from 7,278 respondents to 15 items.
| Description | 15-item Skill Development scale (how much each transferable skill was developed during doctoral training, 1-5 scale), from a national survey of science PhDs (N=7278). |
|---|---|
| Reference | Sinche M, Layton R, Brandt P, O'Connell A, Hall J, Freeman A, et al. (2017) An evidence-based evaluation of transferrable skills and job satisfaction for science PhDs. PLoS ONE. |
| DOI | 10.1371/journal.pone.0185023 |
| Licence | CC BY 4.0 |
| Source data | https://doi.org/10.1371/journal.pone.0185023.s001 |
| Responses | 108,399 |
|---|---|
| Respondents | 7,278 |
| Items | 15 |
| Response categories | 5 |
| Responses per respondent | 14.894 |
| Responses per item | 7226.600 |
| Density | 0.993 |
| Longitudinal | FALSE |
| sample | Educational, Internet-based |
|---|---|
| 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 | Transferrable skills developed during doctoral training (Sinche et al., 2017) |
|---|---|
| Mean words per item | 4.533 |
| Mean characters per item | 30.533 |
| Mean characters per response | 10.200 |
| Flesch-Kincaid grade level | 11.516 |
cov_genderiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("sinche_2017_skill_development")
# Python
pip install irw
import irw
df = irw.fetch("sinche_2017_skill_development")
| 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 |