7,740 responses from 516 respondents to 15 items.
| Description | EFL Speaking Self-Efficacy Scale (EFL-SSES), 15 items on a 7-point agreement scale covering linguistic, self-regulatory, delivery and performance self-efficacy, Chinese non-English-major undergraduates, pooling the scale's EFA and CFA validation samples with cov_study marking which. 7,740 responses from 516 respondents on 15 items. |
|---|---|
| Reference | Wang, 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 |
| DOI | 10.1371/journal.pone.0297517 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297517 |
| Responses | 7,740 |
|---|---|
| Respondents | 516 |
| Items | 15 |
| Response categories | 7 |
| Responses per respondent | 15 |
| Responses per item | 516 |
| Density | 1 |
| Longitudinal | FALSE |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | EFL Speaking Self-Efficacy Scale (EFL-SSES) |
|---|---|
| Mean words per item | 13 |
| Mean characters per item | 77.533 |
| Mean characters per response | 3.714 |
| Flesch-Kincaid grade level | 7.392 |
cov_agecov_english_learning_yearscov_gendercov_majorcov_studyiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("wang_2024_speaking_self_efficacy")
# Python
pip install irw
import irw
df = irw.fetch("wang_2024_speaking_self_efficacy")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_5 v4.0 |
| Redivis dataset DOI | 10.57761/yvjw-0981 |
| Manifest pin for this IRW version | v4.0 |
| Metadata source | irw_meta v23.0 |