About this table

Description	Social regulation scale (SR1-8, 8 items, 1-5); foreign language learning; Chinese university students N=650
Reference	Hao et al. (2025). The data about foreign language anxiety. figshare. doi:10.6084/m9.figshare.30397234.v1
Licence	CC BY 4.0
Source data	https://figshare.com/articles/dataset/The_data_about_foreign_language_anxiety/30397234

Size and shape

Responses	5,200
Respondents	650
Items	8
Response categories	5
Responses per respondent	8
Responses per item	650
Density	1
Longitudinal	FALSE

Classification

age range	Child (<18y)
child age (for child-focused studies)	Adolescent (12-18y)
sample	Educational
measurement tool	Survey/questionnaire
primary language(s)	chi

These are classifications the IRW records, not the study’s own words. Some were annotated by hand and some written by an automated tagger whose output is published only where it clears a measured accuracy bar; which values came from which is not recorded per table. Coverage and accuracy per column, and what is held back, are on Tag quality.

Item text

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

Instrument	Foreign Language Learning Resilience Scale (FLLRS; Guo & Li, 2022), social resilience subscale
Mean words per item	18
Mean characters per item	111.125
Mean characters per response	2
Flesch-Kincaid grade level	10.133

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, hao_2025_foreign_language_anxiety.py. 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.

Column	What it is	Source column
IRW standard columns
`id`	IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).	`NAME`
`item`	IRW standard Item identifier.	made in the build script
`resp`	IRW standard Response value.	made in the build script
Respondent covariates
`cov_age`	Covariate	`AGE`
`cov_region`	Covariate	`REG`
`cov_sex`	Covariate	`SEX`

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

Respondent uniqueness. Under 1% of this table’s respondents are alone in their combination of the 3 covariates above — no one else in the table shares it. That is a necessary condition for re-identification and not re-identification itself, and on a sample this size it is largely arithmetic. The IRW republishes the demographics its sources published and never at finer granularity: see the data standard.

Get the data

Download CSVno account needed Browse on Redivisexplore and query Croissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R (no account needed with irw 1.4.0 or later) or Python (needs a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("irw")
library(irw)
df <- irw_fetch("hao_2025_social_regulation")

# Python
pip install irw

import irw
df = irw.fetch("hao_2025_social_regulation")

Or in Stata, which reads the same no-account CSV as the button above:

* Stata
net install irw, from("https://raw.githubusercontent.com/itemresponsewarehouse/Stata-pkg/main/")

irw_fetch hao_2025_social_regulation, clear

How to cite

@misc{hao2025data,
  author = {Hao et al.},
  title = {The data about foreign language anxiety},
  year = {2025},
  howpublished = {figshare},
  doi = {10.6084/m9.figshare.30397234.v1},
  url = {https://figshare.com/articles/dataset/The_data_about_foreign_language_anxiety/30397234}
}

Version and provenance

IRW version	v674
Redivis dataset	item_response_warehouse_2 v35.0
Redivis dataset DOI	10.57761/kpjk-f829
Manifest pin for this IRW version	v35.0
Metadata source	irw_meta v59.0

hao_2025_social_regulation