mekheimer_2026_flp
640 responses from 160 respondents to 4 items.
About this table
| Description | Foreign Language Proficiency scale (160 educational researchers, 4 items, 5-point Likert) |
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| Licence | CC BY 4.0 |
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| Source data | https://springernature.figshare.com/articles/dataset/31387864 |
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Size and shape
| Responses | 640 |
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| Respondents | 160 |
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| Items | 4 |
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| Response categories | 4 |
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| Responses per respondent | 4 |
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| Responses per item | 160 |
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| Density | 1 |
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| Longitudinal | FALSE |
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Classification
| age range | Adult (18+) |
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| measurement tool | Survey/questionnaire |
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| item format | Likert Scale/selected response |
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| primary language(s) | eng |
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Columns
cov_agecov_fieldcov_genderiditemresp
Get the data
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("mekheimer_2026_flp")
# Python
pip install irw
import irw
df = irw.fetch("mekheimer_2026_flp")
Version and provenance
| IRW version | v393 |
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| Redivis dataset | item_response_warehouse_3 v7.0 |
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| Redivis dataset DOI | 10.57761/pqqn-pm43 |
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| Manifest pin for this IRW version | v7.0 |
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| Metadata source | irw_meta v23.0 |
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