2,180 responses from 436 respondents to 5 items.
One of 6 tables from the same source; this one measures Undocumented block MS (EFL listening strategies / anxiety survey). The others are listed under Related tables.
| Description | MS_1-MS_5: 5 items (1-7) of an undocumented block (MS) from a survey of listening strategies and listening anxiety in AI-augmented blended learning; N = 436 Chinese vocational-college EFL students; cov_gender, cov_age, cov_grade. |
|---|---|
| Reference | Li, K. (2026). Reducing Listening Anxiety in Blended Learning: The Role of AI-Driven Feedback and Strategy in EFL Education [data]. Mendeley Data. https://doi.org/10.17632/y2929y272c |
| Licence | CC BY 4.0 |
| Source data | https://data.mendeley.com/datasets/y2929y272c |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Responses | 2,180 |
|---|---|
| Respondents | 436 |
| Items | 5 |
| Response categories | 7 |
| Responses per respondent | 5 |
| Responses per item | 436 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Adult (18+) |
|---|---|
| sample | Educational |
| construct type | Opinion/attitude |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
| construct name | Undocumented block MS (EFL listening strategies / anxiety survey) |
This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, li_2026_efl_listening.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). | made in the build script |
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 | made in the build script |
cov_gender | Covariate | made in the build script |
cov_grade | Covariate | made in the build script |
What item codes and covariate values stand for is in the codebook released with the source data.
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("li_2026_efl_listening_ms")
# Python
pip install irw
import irw
df = irw.fetch("li_2026_efl_listening_ms")
@misc{https://doi.org/10.17632/y2929y272c,
doi = {10.17632/Y2929Y272C},
url = {https://data.mendeley.com/datasets/y2929y272c},
author = {Li, Ke},
keywords = {Vocational Education, English for Technology},
title = {Reducing Listening Anxiety in Blended Learning: The Role of AI-Driven Feedback and Strategy in EFL Education},
publisher = {Mendeley Data},
year = {2026}
}
| IRW version | v584 |
|---|---|
| Redivis dataset | item_response_warehouse_7 v1.1 |
| Redivis dataset DOI | 10.57761/7pd3-sh31 |
| Manifest pin for this IRW version | v1.0 |
| Metadata source | irw_meta v44.0 |