mekheimer_2026_flp

640 responses from 160 respondents to 4 items.

One of 4 tables from the same source; this one is the flp table. The others are listed under Related tables.

About this table

DescriptionForeign Language Proficiency scale (160 educational researchers, 4 items, 5-point Likert)
LicenceCC BY 4.0
Source datahttps://springernature.figshare.com/articles/dataset/31387864

Size and shape

Responses640
Respondents160
Items4
Response categories4
Responses per respondent4
Responses per item160
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentAcademic English Proficiency Self-Assessment
Mean words per item21
Mean characters per item161.250
Mean characters per response9
Flesch-Kincaid grade level18.527

Codebook

This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).not traced
itemIRW standard Item identifier.not traced
respIRW standard Response value.not traced
Respondent covariates
cov_ageCovariate not traced
cov_fieldCovariate not traced
cov_genderCovariate not traced

What item codes and covariate values stand for is in the codebook released with the source data.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# 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")

How to cite

@misc{https://doi.org/10.6084/m9.figshare.31387864.v1,
  doi = {10.6084/M9.FIGSHARE.31387864.V1},
  url = {https://springernature.figshare.com/articles/dataset/Additional_file_7_of_Beyond_translation_a_quantitative_study_on_foreign_language_proficiency_academic_identity_and_dissonance_among_educational_researchers/31387864/1},
  author = {Mekheimer, Mohamed and Abdelhalim, Walid},
  keywords = {Linguistics, FOS: Languages and literature},
  title = {Additional file 7 of Beyond translation: a quantitative study on foreign language proficiency, academic identity, and dissonance among educational researchers},
  publisher = {figshare},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}

Version and provenance

IRW versionv549
Redivis datasetitem_response_warehouse_3 v13.0
Redivis dataset DOI10.57761/gpg7-sg87
Manifest pin for this IRW versionv13.0
Metadata sourceirw_meta v39.0