9,585 responses from 1,065 respondents to 9 items.
| Description | Student Engagement — Emotional subscale (9 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 | 9,585 |
|---|---|
| Respondents | 1,065 |
| Items | 9 |
| Response categories | 7 |
| Responses per respondent | 9 |
| 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 |
This table has item text in the IRW: the wording administered to respondents, not just the response codes.
| Instrument | Student Engagement Scale (SES; Mameli & Passini, 2017) - affective (emotional) engagement subscale |
|---|---|
| Mean words per item | 7.333 |
| Mean characters per item | 34.778 |
| Mean characters per response | 6 |
| Flesch-Kincaid grade level | 3.003 |
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_emotional")
# Python
pip install irw
import irw
df = irw.fetch("merlo2025_eng_emotional")
| 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 |