liu_2025_speaking_selfefficacy

8,722 responses from 623 respondents to 14 items.

About this table

DescriptionSpeaking Self-Efficacy Scale (Wang & Sun; linguistic/self-regulatory/delivery/performance dimensions), Chinese EFL students, N=623
ReferenceLiu Z, Sun D, Zhang L, Wang X, Yang Y (2025) The impact of classroom interaction on willingness to communicate: The mediating roles of speaking self-efficacy and foreign language enjoyment. PLoS One 20(7): e0328226. https://doi.org/10.1371/journal.pone.0328226
DOI10.1371/journal.pone.0328226
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0328226

Size and shape

Responses8,722
Respondents623
Items14
Response categories5
Responses per respondent14
Responses per item623
Density1
LongitudinalFALSE

Classification

sampleEducational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)chi

Item text

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

InstrumentSpeaking Self-Efficacy Scale (Wang & Sun), 14 items covering four dimensions: linguistic (items 1-5), self-regulatory (6-8), delivery (9-10), performance (11-14)
Mean words per item1
Mean characters per item2
Mean characters per response7.400
Flesch-Kincaid grade level-3.400

Columns

cov_academic_disciplinecov_gendercov_gradeiditemresp

Get the data

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

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("liu_2025_speaking_selfefficacy")
# Python
pip install irw

import irw
df = irw.fetch("liu_2025_speaking_selfefficacy")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_3 v7.0
Redivis dataset DOI10.57761/pqqn-pm43
Manifest pin for this IRW versionv7.0
Metadata sourceirw_meta v23.0