summer school

Introduction to Network Psychometric Analysis in Psychology

 

Milan

 

Formazione continua
 


 

 

 

psychology

The Psychometric Network Analysis approach is emerging as a complement to latent variable models for the investigation of the complexity of psychological processes. By using network models it is possible to represent psychological processes as systems of interacting elements and investigate their dynamics of change over time.

The Summer School offers an introduction to this approach, considering its application to both cross-sectional and longitudinal data. Practices will be proposed through the use of the statistical software R.
The Summer School also includes the participation of Prof. Sacha Epskamp as Invited Lecturer.

Aims

The Summer School enables the acquisition of specific knowledge and skills:

Knowledge

  • Management of the complexity of phenomena that are not directly observable through different measurement models
  • Knowledge of Psychometric Network Analysis as a model for managing the complexity of psychological processes
  • Data management (collection, analysis, visualisation and communication of data and results)

Skills

  • Interpretation of charts and graphs for data management
  • Problem solving
  • Critical thinking skills
  • Use of R software

Participants will be invited to apply what they have learned to their data using R, with the possibility of receiving feedback from the lecturers; they will be able to obtain feedback on future data analysis projects, or practice on datasets made available by the lecturers.

Programme

Lectures, applications and exercises, and discussion of own research data, between August 29 and September 1, 2023. Exercises will be conducted with the R software of which a preliminary knowledge is recommended but not mandatory. Materials and videos introducing the use of the R software prepared by the lecturers will be shared as preparatory material at the Summer School.


Schedule
29 August (9.30 - 18.00)
Morning: Introduction to Psychometric Network Analysis, with examples of applications in psychology
Afternoon: Practice

30 August (9.00 - 18.00)
Morning: Stability of estimates and confidence intervals, comparing populations, latent variables, violations of normality, reproducibility
Afternoon: Practice

31 August (9.00 - 18.00)
Morning: Introduction to longitudinal and intensive designs, Multilevel Network Analysis, psychonetrics
Afternoon: Practice

1 September (9.00 - 18.00)
Morning: Lectio Magistralis: Sacha Epskamp, Invited Lecturer
Afternoon: Flash presentations of students’ projects

Key features

The high scientific quality of the Faculty including an internationally renowned lecturer

The interaction with the lecturers, including discussion of the participants' research project

The certificate of attendance and the Open Badge to facilitate visibility of the skills acquired

Info point

Participants profile

PhD students, adjuct professors, research fellows, researchers, professors

When and where

From 29 August to 1° September 2023 at Università Cattolica del Sacro Cuore in Milan
Enrol by 22 August

 

Faculty

SCIENTIFIC DIRECTION
Semira Tagliabue
Associate professor in Psychometrics, Faculty of Psychology
Università Cattolica del Sacro Cuore

LECTURERS
Giulio Costantini

Associate professor in Psychometrics, Faculty of Psychology, Università Milano-Bicocca
Michela Zambelli
Post-doctoral fellowship in Psychometrics, Università di Genova, Adjunct Professor, Università Cattolica del Sacro Cuore
Sacha Epskamp
Associate Professor at the National University of Singapore

 

Information