2,826 responses from 942 respondents to 3 items.
| Description | 3-item academic-procrastination scale (1-5 Likert), same Chinese university EFL sample as hua_2023_efl_academic_self_concept, n=942 |
|---|---|
| Reference | Hua Y, et al (2023). The relationship between Chinese university students' learning preparation and learning achievement within the EFL blended teaching context in COVID-19 post-epidemic era: The mediating effect of learning methods. PLOS ONE. |
| DOI | 10.1371/journal.pone.0280919 |
| Licence | CC BY 4.0 |
| Source data | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0280919 |
| Responses | 2,826 |
|---|---|
| Respondents | 942 |
| Items | 3 |
| Response categories | 5 |
| Responses per respondent | 3 |
| Responses per item | 942 |
| Density | 1 |
| Longitudinal | FALSE |
| sample | Educational |
|---|---|
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | chi |
iditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("hua_2023_efl_academic_procrastination")
# Python
pip install irw
import irw
df = irw.fetch("hua_2023_efl_academic_procrastination")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_4 v7.0 |
| Redivis dataset DOI | 10.57761/cpj5-vm97 |
| Manifest pin for this IRW version | v7.0 |
| Metadata source | irw_meta v23.0 |