The Living SEB app
This app (app link) allows using the Living SEB Skills Project materials to navigate and meta-analyse evidence from all cross-sectional SEB studies.
Overview
The Living SEB App is an interactive Shiny application designed to explore, synthesize, and meta-analyse all available cross-sectional studies included in the Living SEB Skills Project. It provides a transparent, continuously updated interface to examine study characteristics, extract effect sizes, and run reproducible analyses in real time.
Built as part of a broader effort to create a living, open, and cumulative evidence base on Social, Emotional, and Behavioral skills (SEB), the app allows researchers, students, and practitioners to interact with the data without needing to write any R code.
➡️ Access the app here: https://feracotommaso.github.io/living_SEB_review/shiny-app.html
What you can do with the app
- Browse all included SEB studies with filters for samples, designs, measures, and variables.
- Inspect effect sizes and metadata for every association extracted in the review.
- Run on-the-fly meta-analyses (random/fixed models, moderators, subgroup analyses).
- Download the dataset used in the app for further analysis in R or other tools.
- Track updates as new studies are added to the living review.
Features at a glance
- 📊 Interactive visualizations of effect sizes, uncertainty, and heterogeneity
- 🧮 Built-in meta-analytic models using robust and reproducible pipelines
- 🔍 Searchable database of SEB constructs, measures, sample characteristics
- 🔄 Continuously updated through the Living SEB Project workflow
- 📥 Export options for datasets and analysis outputs
Background
The app accompanies the article:
Feraco, T., Calderan, M., and Pellegrino, G. (2026). The Living SEB Skills Project: A Living Resource for Review and Meta-Analysis of Social, Emotional, and Behavioral Skills. European Journal of Personality. https://doi.org/10.1177/08902070261467477
Together with the broader Living SEB infrastructure, the app reflects a commitment to open science, research transparency, and dynamic evidence synthesis.