First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
Course unit
PSL1000629, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course First cycle degree in
PS1082, Degree course structure A.Y. 2015/16, A.Y. 2019/20
bring this page
with you
Number of ECTS credits allocated 12.0
Type of assessment Mark
Course unit English denomination PSYCHOMETRICS
Department of reference Department of General Psychology
E-Learning website
Mandatory attendance No
Language of instruction Italian
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

Teacher in charge MASSIMO NUCCI M-PSI/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Basic courses M-PSI/03 Psychometrics 12.0

Course unit organization
Period First semester
Year 2nd Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 12.0 84 216.0 No turn

Start of activities 01/10/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2015 course timetable

Examination board
Board From To Members of the board
9 2019 01/10/2019 30/09/2020 NUCCI MASSIMO (Presidente)
BURIGANA LUIGI (Membro Effettivo)

Prerequisites: Basic knowledge in ‚Äč‚Äčlogic-mathematics: algebra, operations and functions.
Target skills and knowledge: The first part of the course is aimed at acquiring some basic concepts in psychometrics (e.g. finitary relation, function, combinatorics, measurement scales). In the second and third part will cover topics of descriptive and inferential statistics (eg. random probabilities and the probability distribution, sample, variables, statistical test). The student will be asked to apply the concepts in psychology contexts: both during the lectures and during the exam.

The course of Psychometrics is closely related with other quantitative and methodological courses.
Examination methods: Written exam with multiple choice questions on the computer is followed of an optional oral.

The ninety exam questions will be theoretical but also applicative, linked to empirical contexts, in order to evaluate both the knowledge and skills acquired by the student.
Assessment criteria: The assessment will be based on the acquisition of both theoretical (even formal) and practical content.
Course unit contents: The course is divided into three parts

Basic elements for psychometry:
- Logical-mathematical bases
- Combinatorics
- Theory of measurement and measurement scales

Psychometrics, first part:
- Descriptive statistics
- Experiments and random probabilities
- Random variables and the probability distribution

Psychometrics, second part:
- Principles and methods of statistical inference
- Some examples of statistical inference methods
- Correlation, Regression and ANOVA
Planned learning activities and teaching methods: All the lessons of the course will be frontal.

During the lessons, each new topic is followed by short exercises (a few minutes each) in order to verify the concepts.
Additional notes about suggested reading: Slides and Lecture notes of Psychometry
Textbooks (and optional supplementary readings)

Innovative teaching methods: Teaching and learning strategies
  • Working in group

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • Latex
  • R statistical software

Sustainable Development Goals (SDGs)
Quality Education