First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
Course unit
PSYCHOLOGICAL TESTING (Ult. numero di matricola pari)
PSP6075525, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2017/18

Information on the course unit
Degree course First cycle degree in
PS2295, Degree course structure A.Y. 2016/17, A.Y. 2019/20
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination PSYCHOLOGICAL TESTING
Department of reference Department of Developmental Psychology and Socialisation
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 GIANMARCO ALTOE' M-PSI/03
Other lecturers FRANCA AGNOLI M-PSI/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Educational activities in elective or integrative disciplines M-PSI/03 Psychometrics 9.0

Course unit organization
Period First semester
Year 3rd Year
Teaching method frontal

Type of hours Credits Teaching
Hours of
Individual study
Lecture 9.0 63 162.0 No turn

Start of activities 01/10/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2016 course timetable

Examination board
Board From To Members of the board
3 2019 01/10/2019 30/09/2020 CALCAGNI' ANTONIO (Presidente)
ALTOE' GIANMARCO (Membro Effettivo)
MARCI TATIANA (Membro Effettivo)
2 2019 01/10/2019 30/09/2020 ALTOE' GIANMARCO (Presidente)
AGNOLI FRANCA (Membro Effettivo)
FINOS LIVIO (Membro Effettivo)
MARCI TATIANA (Membro Effettivo)

Prerequisites: The student must have a good understanding of the concepts presented in the course Psychometrics
Target skills and knowledge: The course has the following objectives:
• To acquire statistical, methodological, and psychological competence necessary to know, select, and evaluate psychological tests
• To acquire the basic competence needed to manage, describe, and analyze data related to psychological tests using the free software R
Examination methods: The exam consists of 40 multiple-choice questions regarding the concepts presented in the course.
Each question has a choice of 4 answers, only one of which is correct. The candidate gets: 1 point for each correct answer, 0 points for each missing answer, -.33 for each incorrect answer. The final grade results from the sum of points, divided by 40 and multiplied by 31. Only the candidates who answer correctly to all questions will get 30 cum laude.
The exam lasts 50 minutes
Assessment criteria: Mastery of the concepts presented in the course and ability to use them in application settings
Course unit contents: First Part: Professor Gianmarco Altoè
- Measurement in psychology.
- Introduction to psychological testing.
- Basic elements of descriptive and inferential statistics. Correlation and linear regression, factor analysis. Applications based on the statistical software R for psychological testing.
- Methodological problems and phases in the construction of a test.
- Interpretation of test scores. Test reliability and validity.

Second Part: Professor Franca Agnoli
- Historical perspective of psychological testing
- Intelligence tests. Theories of intelligence. The problem of the definition of intelligence.
- Intelligence tests for adults: WAIS-IV
- Basics of Intelligence tests from a developmental perspective: WISC-IV
- Controversies linked to the use of intelligence tests
Planned learning activities and teaching methods: Classroom lectures about theories and applications to actual cases. Class exercises. Sample exercises in preparation for the final exam.
Additional notes about suggested reading: The examination is based on:
- Material presented in class (lectures, exercises, and readings)
- The required texts
Textbooks (and optional supplementary readings)
  • Claudio Barbaranelli, Elena Natali, I test psicologici: teorie e modelli psicometrici. Roma: Carrocci, 2005. Cerca nel catalogo

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

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

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