9,585 responses from 1,065 respondents to 9 items.
One of 5 tables from the same source; this one is the eng_emotional table. The others are listed under Related tables.
| 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 |
This codebook is reconstructed by the IRW from the IRW data standard. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.
| Column | What it is | Source column |
|---|---|---|
| IRW standard columns | ||
id | IRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task). | not traced |
item | IRW standard Item identifier. | not traced |
resp | IRW standard Response value. | not traced |
| Respondent covariates | ||
cov_age | Covariate | not traced |
cov_height | Covariate | not traced |
cov_sex | Covariate | not traced |
cov_weight | Covariate | not traced |
What item codes and covariate values stand for is in the codebook released with the source data.
Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):
# 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")
@misc{https://doi.org/10.6084/m9.figshare.30195541.v1,
doi = {10.6084/M9.FIGSHARE.30195541.V1},
url = {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/30195541/1},
author = {Merlo, Gianluca and Jaforte, Luna and Vassallo, Massimiliano and Pozzetti, Ilaria},
keywords = {Other education not elsewhere classified},
title = {Dataset for: Sleep Quality as a Mediator Between Lifestyle and Cognitive and Agentic Student Engagement: A Structural Equation Modeling Approach},
publisher = {figshare},
year = {2025},
copyright = {Creative Commons Attribution 4.0 International}
}
| IRW version | v549 |
|---|---|
| Redivis dataset | item_response_warehouse_2 v33.0 |
| Redivis dataset DOI | 10.57761/6m04-m698 |
| Manifest pin for this IRW version | v33.0 |
| Metadata source | irw_meta v39.0 |