First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
SOCIAL, WORK AND COMMUNICATION PSYCHOLOGY
Course unit
LATENT VARIABLE MODELS
PSP7078617, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
SOCIAL, WORK AND COMMUNICATION PSYCHOLOGY
PS1087, Degree course structure A.Y. 2017/18, A.Y. 2019/20
N0
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Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination LATENT VARIABLE MODELS
Department of reference Department of Philosophy, Sociology, Education and Applied Psychology
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge EGIDIO ROBUSTO M-PSI/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses M-PSI/03 Psychometrics 6.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 42 108.0 No turn

Calendar
Start of activities 02/03/2020
End of activities 12/06/2020
Show course schedule 2019/20 Reg.2017 course timetable

Syllabus
Prerequisites: The knowledge derived from the other methodology courses.
Target skills and knowledge: This course provides an introduction to some advanced data analysis methods, with special emphasis on the latent trait and the latent class analysis. It also helps students develop the computational skills needed to carry out statistical procedures in practical settings.
Examination methods: Oral exam concerning the theoretical and applicative aspects dealt with during the lectures as well as the exercises performed.
Assessment criteria: The evaluation of the student’s preparation will be based on the level of understanding of the topics, the acquisition of concepts and methodologies treated and on his/her ability to apply them in an autonomous and aware manner.
Course unit contents: - Statistical and mathematical prerequirements and introduction to the latent variable concept
- Rasch models
- Log-linear models with latent variables
- Data analysis software
Planned learning activities and teaching methods: Besides the lectures, exercises on concrete analysis cases will be proposed in which the students, alone or in a group, will have the opportunity to test the concepts learned.
Additional notes about suggested reading: On the course's Moodle page will be made available to students the slides of the lectures, and any material used in class.
It is stressed that the availability of such material in no way can be considered a substitute of the lectures frequency, which remains the most effective way to approach the discipline.
Textbooks (and optional supplementary readings)
  • Cristante, Francesca; Mannarini, Stefania, Misurare in psicologia. Il modello di Rasch. Roma: Bari, Laterza, 2004. Cerca nel catalogo
  • Robusto, Egidio; Cristante, Francesca, Analisi delle classi latenti di variabili psicosociali. Modelli, metodi, applicazioni. Milano: LED, 2012. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Problem based learning
  • Case study
  • Interactive lecturing
  • Working in group
  • Problem solving
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • One Note (digital ink)
  • Latex
  • R

Sustainable Development Goals (SDGs)
Quality Education