Formazione e ricerca

Attività Formative del Corso di Dottorato - 2023/2024

This page shows the courses and classes of the PhD programme for the academic year 2023/2024. Additional courses and classes will be added during the year. Please check for updates regularly!

Attività Formative della Scuola di Dottorato - 2023/2024

Please note: Additional information will be added during the year. Currently missing information is labelled as “TBD” (i.e. To Be Determined).

PhD students must obtain a specified number of CFUs each year by attending teaching activities offered by the PhD School.
First and second year students must obtain 8 CFUs. Teaching activities ex DM 226/2021 provide 5 CFUs; free choice activities provide 3 CFUs.
Third year students must obtain 4 CFUs. Teaching activities ex DM 226/2021 provide 2 CFUs; free choice activities provide 2 CFUs.

Registering for the courses is not required unless explicitly indicated; please consult the course information to verify whether registration is required or not. When registration is actually required, no confirmation e-mail will be sent after signing up.

Teaching Activities ex DM 226/2021: Linguistic Activities

Teaching Activities ex DM 226/2021: Research management and Enhancement

Teaching Activities ex DM 226/2021: Statistics and Computer Sciences

Teaching Activities: Free choice

Docente

Non ancora assegnato

Crediti

2,5

Lingua di erogazione

Inglese

Frequenza alle lezioni

Scelta Libera

Obiettivi di apprendimento

The course aims to provide expertise that is required to perform more advanced statistical analysis, in order to interpret complex data patterns ruled by hidden or observed variables. Further, expertise for the realisation and interpretation of meta-analyses will also be provided. The course mainly targets human sciences, also with the aid of open source statistical software (R and JAMOVI).

Prerequisiti e nozioni di base

he course will be delivered via Zoom; at least 70% attendance is required. At most 20 students will be admitted; precedence will be given to students in the Arts and Humanities area. Precedence criteria: 1. enrollment in a course of the Arts and Humanities area; 2. registration order.
Intermediate level statistics provides modules that are offered to all students of the PhD School. Students can choose the modules to attend according to their interests and acquired knowledge. Attendance of at least 20 hours is required to obtain credits.

Programma

1. ANOVA: One way ANOVA, factorial designs, repeated measure designs, mixed designs (4 hours)
2. Path analysis, Mediation and moderation analysis (4 hours)
3. Exploratory and confirmatory factor analysis (4 hours)
4. Introduction to Meta-analysis, focused on Human Sciences Research (literature review, data collection, database
construction) (4 hours)
5. Application of meta-analysis in social science and humanities fields (2 hours)
6. Test on acquired expertise (2 hours)

Quando e Dove

April 9, 2024; 9:00-13:00
April 11, 2024; 9:00-13:00
April 16, 2024; 9:00-13:00
April 18, 2024; 9:00-13:00
April 19, 2024; 9:00-13:00
May 7, 2024; 10:00-11:00
Zoom link will be given to admitted students only.

Docenti

A B C D F G L M P R V Z

Assfalg Michael

symbol email michael.assfalg@univr.it symbol phone-number +39 045 802 7949

Astegno Alessandra

symbol email alessandra.astegno@univr.it symbol phone-number 045802 7955

Avesani Linda

symbol email linda.avesani@univr.it symbol phone-number +39 045 802 7839

Ballottari Matteo

symbol email matteo.ballottari@univr.it symbol phone-number 045 802 7823

Bassi Roberto

symbol email roberto.bassi@univr.it symbol phone-number 045 8027916

Battista Federico

symbol email federico.battista@univr.it symbol phone-number +390458027917

Bellin Diana

symbol email diana.bellin@univr.it symbol phone-number 045 802 7090

Bolzonella David

symbol email david.bolzonella@univr.it symbol phone-number 045 802 7965

Brandi Jessica

symbol email jessica.brandi@univr.it symbol phone-number 045 8027874

Capaldi Stefano

symbol email stefano.capaldi@univr.it symbol phone-number +39 045 802 7907

Cazzaniga Stefano

symbol email stefano.cazzaniga@univr.it symbol phone-number +39 045 8027075

Cecconi Daniela

symbol email daniela.cecconi@univr.it symbol phone-number +39 045 802 7056; Lab: +39 045 802 7087

Commisso Mauro

symbol email mauro.commisso@univr.it symbol phone-number 0458027030

Dainese Matteo

symbol email matteo.dainese@univr.it symbol phone-number +39 045 802 7858

Dal Corso Giovanni

symbol email giovanni.dalcorso@univr.it symbol phone-number (0039) 045 802 7867

Dall'Osto Luca

symbol email luca.dallosto@univr.it symbol phone-number +39 045 802 7806

Delledonne Massimo

symbol email massimo.delledonne@univr.it symbol phone-number 045 802 7962; Lab: 045 802 7058

Fasoli Marianna

symbol email marianna.fasoli@univr.it symbol phone-number +39 045 842 5625

Frison Nicola

symbol email nicola.frison@univr.it symbol phone-number 045 802 7857

Furini Antonella

symbol email antonella.furini@univr.it symbol phone-number 045 802 7950; Lab: 045 802 7043

Fusco Salvatore

symbol email salvatore.fusco@univr.it symbol phone-number Office: +39 045 802 7954 Lab: +39 045 802 7086

Giorgetti Alejandro

symbol email alejandro.giorgetti@univr.it symbol phone-number 045 802 7982

Guardavaccaro Daniele

symbol email daniele.guardavaccaro@univr.it symbol phone-number +39 045 802 7903

Guzzo Flavia

symbol email flavia.guzzo@univr.it symbol phone-number 045 802 7923

Lampis Silvia

symbol email silvia.lampis@univr.it symbol phone-number 045 802 7095

Mori Nicola

symbol email nicola.mori@univr.it symbol phone-number 045 683 5628

Pandolfini Tiziana

symbol email tiziana.pandolfini@univr.it symbol phone-number 045 802 7918

Pezzotti Mario

symbol email mario.pezzotti@univr.it symbol phone-number +39045 802 7951

Polverari Annalisa

symbol email annalisa.polverari@univr.it symbol phone-number 045 8425629

Rossato Marzia

symbol email marzia.rossato@univr.it symbol phone-number +39 045 802 7800

Vandelle Elodie Genevieve Germaine

symbol email elodiegenevieve.vandelle@univr.it symbol phone-number 0458027826

Vettori Andrea

symbol email andrea.vettori@univr.it symbol phone-number 045 802 7861/7862

Vitulo Nicola

symbol email nicola.vitulo@univr.it symbol phone-number 0458027982

Zoccatelli Gianni

symbol email gianni.zoccatelli@univr.it symbol phone-number +39 045 802 7952

Dottorandi

Dottorandi presenti nel:

Avesani Michele

symbol email michele.avesani@univr.it

Carlomagno Marco

symbol email marco.carlomagno@univr.it

Gorrieri Sara

symbol email sara.gorrieri@univr.it

Lucchini Filippo

symbol email filippo.lucchini@univr.it

Miotti Tea

symbol email tea.miotti@univr.it

Paini Matteo

symbol email matteo.paini@univr.it

Pezzuto Marco

symbol email marco.pezzuto@univr.it
Lezioni del Corso
Lezioni della Scuola di Dottorato

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Linee guida percorso formativo

Di seguito i file che contengono le Linee guida per il percorso formativo e il regolamento per l'acquisizione dei crediti formativi (CFU) per l'Anno Accademico 2023/2024.