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  1. Courses

27007 - PSYCHOMETRICS (A-DE)

courses
ID:
27007
Duration (hours):
64
CFU:
8
SSD:
PSICOMETRIA
Located in:
CHIETI
Url:
Course Details:
PSYCHOLOGICAL SCIENCES/CORSO GENERICO Year: 1
Year:
2025
Course Catalogue:
https://unich.coursecatalogue.cineca.it/af/2025?co...
  • Overview
  • Syllabus
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Overview

Date/time interval

Secondo Semestre (09/02/2026 - 30/05/2026)

Syllabus

Course Objectives


The course contributes to achieving the educational objectives of the Degree Programme by providing students with theoretical knowledge and methodological tools that are essential for understanding and analyzing the main topics of the relevant discipline. Specifically, students are expected to have acquired:

the theoretical foundations of psychological knowledge, as developed in the core area of psychometrics;
mastery of fundamental elements of experimental research techniques, behavioral observation, and statistical analysis of psychological data, as well as basic methodologies for investigation and intervention;
the ability to critically address issues related to the objects of study in psychology and to communicate their reflections effectively.

Expected learning outcomes:

Knowledge and understanding:

To gain a solid grounding in theoretical concepts and methodological approaches appropriate for continuing advanced studies in Master's-level psychology programs.
To build foundational expertise in measurement theory and research methods used in psychological science, including quantitative approaches and key statistical techniques for analyzing behavioral data.

Applying knowledge and understanding:

To gain practical skills in quantifying psychological functions, designing questionnaires, conducting focus groups, and analyzing data. Students will also become proficient in using data analysis software and different methods of collecting behavioral data.

Making judgements:

To develop the capacity to compare different theoretical perspectives.
To interpret data effectively, formulate hypotheses, identify appropriate testing strategies, and evaluate outcomes.
To develop knowledge acquisition on scientifically rigorous standards.

Communication skills:

To demonstrate the ability to communicate acquired knowledge through oral presentations and written assignments on specific topics or open-ended questions.

Learning skills:

To develop reflective thinking and metacognitive awareness regarding learning strategies and academic content.

Course Prerequisites


While no strict prerequisites are required, students should possess basic knowledge and skills appropriate to the course level, including prior exposure to the main themes and approaches of the discipline of mathematics and statistics.
Critical thinking, the ability to synthesize information, and a general confidence in reading and discussing academic materials will be beneficial for fully engaging with the course content.

Teaching Methods


Classes in the lecture hall and oinline; exercises; simulations.The classes are organized in 64 hours of frontal teaching, subdivided in 2 classes of 3 hours a week, based on the academic schedule. During the classes, the professor will teach the themes both at the theoretical and at the practical level with exercises that foresee a strong interactive component between teacher and students.Moreover, the course will make use of CONNECT, an online platform for individual exercising at theoretical and practical levels. The personal access code of the platform will be provided to the students together with the text book (Elementi di Psicometria, McGraw-Hill Education).The E-Learning platform offered by UdA (https://elearning.unich.it ) will be regularly used to stimulate interactive teaching, to share teaching materials, and to support the exercises.Website of the university section of psychometrics: http://www.psicometria.unich.it.
Optional activities (e.g. seminars, and lessons with innovative didactic methodology taught by visiting rofessors) may be offered during the course and will be announced in class at the beginning of course.
Attendance is not mandatory, but it is strongly recommended, as active participation in the various learning activities greatly supports the achievement of the course’s intended learning outcomes.

Assessment Methods


Type of exam: written exam. The modality of the examination: The exam consists of a written paper and pencil test with 20 multiple-choice questions and 2 exercises with 5 steps each to execute with the support of a formulary and a calculator (the use of electronic devices is not allowed without exception). Each question will be associated with four alternative answers, whereas one of these is correct. The choice of each correct answer will lead to the attribution of one point, whereas an incorrect answer (or indicating multiple answers or unanswered question) do not result in penalties. The passing threshold is set at 18 out of 30. A verbal exam is not foreseen. The topics of the exam reflect those discussed during the classes and present in the course program. The final vote (max. 30) will consist of the sum of the points attributed to the 20 multiple choice questions (20 points) and to those assigned to the 5 steps of the 2 exercises (10 points). The test is designed to distinguish different levels of competence, in alignment with the expected learning outcomes. Evaluation: final vote.

Texts


Balsamo, M. (2017). Elementi di Psicometria, McGraw-Hill Education. – The book is sold in combination with an access code to Connect, an online platform for exercises.Chapters 12 and 13 are excluded from this course.

Contents


The specific topics of the course are the following:1. Measurement in psychology: reliability and validity, the classic model of reliability (educational objectives 1 and 2);2. Variables (educational objectives 2 and 3)3. Scales of measurement;4. Frequencies and their distributions (educational objectives 2 and 3);5. Tables and graphs (educational objectives 2 and 3);6. Measures of central tendency: mean, mode and median (educational objectives 2 and 3);7. Measures of dispersion: standard deviation and variance (educational objectives 2 and 3);8. Measures of position: quartiles, deciles and percentiles (educational objectives 2 and 3);9. Standardization (educational objectives 2 and 3);10. Relationships between variables: measures of correlation and simple regression (educational objectives 2 and 3).Teaching concerns the theoretical understanding (educational objective 1 and 2), the practical ability to apply the acquired knowledge in executing exercises (educational objectives 2 and 3), and the interactive discussion of the exercises in the classes (educational objective 4).

Course Language


Italian

More information


Office hours are held weekly, either in person or remotely via Microsoft Teams, by appointment. For any questions, students can contact the teacher at: mbalsamo@unich.it. In addition to the consulting hours, the teacher is available to answer to questions during the lessons. The students are encouraged to consult regularly the e-learning platform of the course where the teacher will post communications concerning the course content as well as eventual preparations for the lessons. Web page teacher: teacher: https://www.disputer.unich.it/node/7514.
In addition to the standard teaching hours, students may take part in optional supplementary activities, including tutoring sessions to support exam preparation and reinforce key concepts, as well as external seminars or guest lectures on topics relevant to the course, when available.
Participation in these activities is voluntary and does not affect the final grade, but it is strongly recommended to enhance the learning experience and deepen the practical understanding of course content.

Degrees

Degrees

PSYCHOLOGICAL SCIENCES 
Bachelor’s Degree
3 years
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People

People

BALSAMO MICHELA
AREA MIN. 11 - Scienze storiche, filosofiche, pedagogiche e psicologiche
Gruppo 11/PSIC-01 - PSICOLOGIA GENERALE, NEUROPSICOLOGIA E NEUROSCIENZE COGNITIVE, PSICOMETRIA
Settore PSIC-01/C - Psicometria
Docenti di ruolo di Ia fascia
No Results Found
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