EEAI-Chile — Design and Initial Validation of a Comprehensive Academic Engagement Scale for Chilean University Faculty

This repository contains the anonymized data, analysis code, and reproducible outputs for the research article:

Fuentes-Lama, R., Juárez-Hernández, L. G., & Monge-Rogel, R. (2026). Diseño y validación inicial de una escala integral de engagement académico para el profesorado universitario chileno [Design and initial validation of a comprehensive academic engagement scale for Chilean university faculty]. Manuscript under review.

Overview

The EEAI-Chile (Escala de Engagement Académico Integral) is a 29-item, 5-point Likert instrument measuring academic engagement among Chilean university faculty across six dimensions:

Code	Dimension
D1	Teaching vitality, dedication, and absorption
D2	Outreach and Social Impact
D3	Digital agency and information technologies
D4	Fairness and contractual environment
D5	Academic leadership and support
D6	Governance and strategic participation

The validation reported here comprises two stages:

1. Content validity (expert judgment). A panel of expert judges rated each item on relevance and wording. Content validity was quantified with Aiken's V coefficient and 95% confidence intervals.
2. Pilot study (N = 104 university faculty). Internal-consistency reliability was estimated per dimension and for the total scale using Cronbach's α, ordinal α (from polychoric correlations), and McDonald's ω, with bootstrap confidence intervals, alongside APA 7 descriptive tables of the sample's sociodemographic and professional characteristics.

Repository structure

.
├── README.md                  <- This file
├── LICENSE                    <- MIT License (code)
├── CITATION.cff               <- Citation metadata (GitHub)
├── requirements.txt           <- Python dependencies
├── data/
│   ├── README.md              <- Data dictionary and anonymization notes
│   ├── expert_judgment/
│   │   ├── data_aiken_engagement.csv       <- Expert ratings (relevance & wording, 31 initial items)
│   │   └── sociodemographic_judges.csv     <- Expert panel characteristics
│   └── pilot/
│       └── EEAI-Chile_Pilot_Data_2026_anonymized.xlsx  <- Anonymized pilot survey (N = 104)
├── notebooks/
│   ├── 01_content_validity_aiken_v.ipynb   <- Aiken's V + 95% CI, judge characterization, Figure 2
│   ├── 02_pilot_demographics_tables.ipynb  <- APA 7 Tables 1–2 (sample description, instrument evaluation)
│   └── 03_pilot_reliability.ipynb          <- APA 7 Tables 3–4 (α, ordinal α, ω, item analysis)
├── outputs/
│   ├── figures/               <- Generated figures (PNG 600 dpi, PDF, TIFF)
│   └── tables/                <- Generated APA 7 tables (Word .docx)
└── docs/
    └── (supplementary materials, e.g., final instrument, ethics documentation)

Reproducing the analyses

Requirements

• Python ≥ 3.10
• Dependencies listed in requirements.txt

git clone https://github.com/ricardomonge/EEAI-Chile-Validation.git
cd EEAI-Chile-Validation
pip install -r requirements.txt

Running the notebooks

Run the notebooks from the notebooks/ directory (paths are relative to it), in order:

#	Notebook	Inputs	Outputs
1	01_content_validity_aiken_v.ipynb	data/expert_judgment/*.csv	Aiken's V tables + Figure 2 → outputs/
2	02_pilot_demographics_tables.ipynb	data/pilot/*.xlsx	Tables 1–2 (.docx) → outputs/tables/
3	03_pilot_reliability.ipynb	data/pilot/*.xlsx	Tables 3–4 (.docx) → outputs/tables/

jupyter lab   # then open and run each notebook top-to-bottom

All tables are exported in APA 7th-edition format as Word documents; the Aiken's V figure is exported at publication quality (600 dpi PNG/TIFF and vector PDF).

Data availability

The datasets supporting this study are openly available in this repository (data/) under a CC BY 4.0 license:

• Expert-judgment data: ratings of the 31 initial items on relevance and wording, plus anonymized sociodemographic characteristics of the expert panel.
• Pilot data: anonymized item-level responses and sociodemographic/professional variables for 104 Chilean university faculty.

To protect participant privacy, the public pilot dataset has been de-identified: response timestamps were replaced with sequential participant IDs, and institution names and open-text comments were removed prior to publication. No direct identifiers were collected. See data/README.md for the full data dictionary and anonymization procedure.

Code availability

All analysis code (Jupyter notebooks, Python) used to generate the results, tables, and figures reported in the article is openly available in this repository under the MIT License.

Ethics statement

Participation was voluntary and anonymous; informed consent was obtained from all participants before responding (consent item recorded in the dataset).

How to cite

If you use this repository, please cite both the article (once published) and the repository:

@misc{fuenteslama2026eeai,
  author    = {Fuentes-Lama, Ricardo and Ju{\'a}rez-Hern{\'a}ndez, Luis Gibran and Monge-Rogel, Ricardo},
  title     = {EEAI-Chile: Data and code for the design and initial validation of a
               comprehensive academic engagement scale for Chilean university faculty},
  year      = {2026},
  publisher = {GitHub},
  url       = {https://github.com/ricardomonge/EEAI-Chile-Validation}
}

Citation metadata is also provided in CITATION.cff (use GitHub's "Cite this repository" button).

Authors

Author	Affiliation	Role
Ricardo Fuentes-Lama	Facultad de Economía y Negocios, Universidad Andrés Bello, Chile	Author
Luis Gibran Juárez-Hernández	Centro Universitario CIFE, México	Corresponding author
Ricardo Monge-Rogel	Instituto de Matemática, Física y Estadística, Universidad de Las Américas, Chile	Author

License

• Code (notebooks, scripts): MIT License
• Data (data/): Creative Commons Attribution 4.0 International (CC BY 4.0)

Acknowledgments

We thank the expert judges and the university faculty who participated in the pilot study.