Luogo:
Milan
Da: 27-05-2024
A: 29-05-2024
Scadenza iscrizioni: 19-05-2024
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.
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Thanks to the summer school, I have begun to use Network Analysis in a very systematic and productive way in my data analysis. We recently published a paper in a very impacted journal on the topic I presented at the end of the summer school.
Aims
At the end of the activities, participants will have acquired the following knowledge and skills, attested by the issuance of an Open badge after passing an assessment test consisting of a multiple-choice test and attendance of at least 75% of the total number of hours:
Knowledge
Skills
Schedule
27 May (9.00 - 18.00)
Morning: Introduction to Psychometric Network Analysis, with examples of applications in psychology and practical session
Afternoon: Lectio Magistralis by Prof. Denny Borsboom (online)
28 May (9.00 - 18.00)
Morning: Stability of estimates, violations of normality, reproducibility, multigroup network analysis.
Afternoon: Practical session and application to participants' data
29 May (9.00 - 17.00)
Morning: Introduction to longitudinal and intensive designs, Multilevel Network Analysis, psychometrics
Afternoon: Flash presentations of students' projects
Lectures, applications and exercises, and discussion of own research data. Participants will be invited to apply what they have learned to their data using R, with the possibility of receiving feedback from the lecturers and tutor; they will be able to obtain feedback on future data analysis projects, or practice on datasets made available by the lecturers. A preliminary knowledge of the R software 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.
Payment can be made by:
1) Bank transfer: bank transfer details will be available in the email confirming enrolment;
2) Credit card from the registration form.
Università Cattolica del Sacro Cuore
Formazione permanente, via Carducci 28/30, Milano
daniela.veritierovitulano1@unicatt.it
formazionecontinua.unicatt.it
asag.unicatt.it
