wang_2024_self_efficacy_sources

6,747 responses from 519 respondents to 13 items.

About this table

DescriptionEFL Sources of Speaking Self-Efficacy Scale (EFL-SSSES), 13 items on a 7-point agreement scale covering mastery experience, vicarious experience, social persuasion and physiological/emotional states, Chinese non-English-major undergraduates, pooling the scale's EFA and CFA validation samples with cov_study marking which. 6,747 responses from 519 respondents on 13 items.
ReferenceWang, Y.; Sun, P. P. (2024). Development and validation of scales for speaking self-efficacy: Constructs, sources, and relations. PLOS ONE, 19(1), e0297517. https://doi.org/10.1371/journal.pone.0297517
DOI10.1371/journal.pone.0297517
LicenceCC BY 4.0
Source datahttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297517

Size and shape

Responses6,747
Respondents519
Items13
Response categories7
Responses per respondent13
Responses per item519
Density1
LongitudinalFALSE

Item text

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

InstrumentEFL Sources of Speaking Self-Efficacy Scale (EFL-SSSES)
Mean words per item14.462
Mean characters per item83.154
Mean characters per response3.714
Flesch-Kincaid grade level7.938

Columns

cov_agecov_english_learning_yearscov_gendercov_majorcov_studyiditemresp

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("wang_2024_self_efficacy_sources")
# Python
pip install irw

import irw
df = irw.fetch("wang_2024_self_efficacy_sources")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse_5 v4.0
Redivis dataset DOI10.57761/yvjw-0981
Manifest pin for this IRW versionv4.0
Metadata sourceirw_meta v23.0