An introduction to Item Response Theory Models with R
The aim of the course is to give an overview on IRT models, with a focus on IRT models for dichotomous responses
Basics of Python for Data Science
Introductory Python for data science, hands-on basics, tools setup, core syntax, key libraries
Generalized Linear Models
PhD-level Generalized Linear Models course, R-package materials, labs, slides for applied statistical modeling
Structural Equation Modeling
PhD-level Structural Equation Modeling, theory, estimation, and applied modeling with observed and latent variables
Basics of R for Data Science
Foundational R programming for PhD students, data structures, control flow, and core statistical tools
Introduzione a R
Basi di R, logica della programmazione, strutture di dati, e come scrivere codice. Ideale per studenti universitari
A practical introduction to Evidence Accumulation Models
Evidence-accumulation models, modeling perceptual judgments with both response times and choice data
Reporting Using Quarto
An introduction to Quarto and its basic features, along with a presentation on how to exploit it functionalities to create polished, professional outputs with embedded code chunks
Evaluation of outliers and influential cases in a multivariate perspective
Practical R-based methods to define, detect, and manage univariate and multivariate outliers and influential cases
Current issues in statistical inference for Psychology
Key challenges in psychological research statistics, statistical significance issues, replicability and reproducibility crises, and new strategies to enhance research quality
Bayesian Data Analysis in Psychological Research
Introduces the Bayesian approach, covering probability basics, binomial and normal models. Includes practical training in STAN with R applications.
Data Simulation in Psychological Studies
Data simulation for understanding and evaluating data analysis models. Extends Power and Design Analysis concepts, with simulations for linear, logistic, and reaction time models in R
RMarkdown. Analisi riproducibili, presentazioni, report
Competenze base di RMarkdown (e Quarto), creare documenti PDF, HTML e presentazioni dal codice
Basics of Power and Design Analysis
Power and design analysis with R to plan sample sizes and enhance research replicability
Multiverse approches in multilab contexts
An introductory workshop on applying multiverse analysis to multilab research and its implementation in the MB2P project
Cognitive Pupillometry with OpenSesame and R
A course on using cognitive pupillometry to design experiments and analyze pupil data across the lifespan, with OpenSesame and R
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