10,650 responses from 1,065 respondents to 10 items.
| Description | Student Engagement — Agentic subscale (10 items); Italian university students; N=1065; 1-7 Likert |
|---|---|
| Reference | Merlo, G., Jaforte, L., Vassallo, M., & Pozzetti, I. (2025). Dataset for: Sleep Quality as a Mediator Between Lifestyle and Cognitive and Agentic Student Engagement [Dataset]. figshare. https://doi.org/10.6084/m9.figshare.30195541.v1 |
| Licence | CC BY 4.0 |
| Source data | https://figshare.com/articles/dataset/Dataset_for_Sleep_Quality_as_a_Mediator_Between_Lifestyle_and_Cognitive_and_Agentic_Student_Engagement_A_Structural_Equation_Modeling_Approach/30195541 |
| Responses | 10,650 |
|---|---|
| Respondents | 1,065 |
| Items | 10 |
| Response categories | 7 |
| Responses per respondent | 10 |
| Responses per item | 1,065 |
| Density | 1 |
| Longitudinal | FALSE |
| age range | Mixed |
|---|---|
| child age (for child-focused studies) | Adolescent (12-18y) |
| sample | Educational |
| measurement tool | Survey/questionnaire |
| item format | Likert Scale/selected response |
| primary language(s) | ita |
cov_agecov_heightcov_sexcov_weightiditemresp
Or load it directly in R or Python:
# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("merlo2025_eng_agentic")
# Python
pip install irw
import irw
df = irw.fetch("merlo2025_eng_agentic")
| IRW version | v393 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v19.0 |
| Redivis dataset DOI | 10.57761/qtx5-4m80 |
| Manifest pin for this IRW version | v19.0 |
| Metadata source | irw_meta v23.0 |