Psychometrics

Course objectives

Course's general goal is to supply students with a theoretical knowledge and useful tools connected to the representation of data and to the pertaining psychometric analyses for educational research. The Programme includes theoretical lessons and workshop practical activities. Theoretical lessons will be divided into lectures, dedicated to students' training, and a part dedicated to students' questions and reflections. Classes will be about the use of questionnaires, and the approach to empirical research with a reference to the theoretical bases of quantitative and psychometric research. During the course, will be explained the instructions related to the representation of data by means of charts and graphs, the input and the management of data by using the programme Excel and the software for statistical analyses Spss, and the psychometric theories needed for the use of these software. During the practical classes, theory, previously learned, is applied by means of exercise and mid-term tests, both in the classroom and at home. At the end of the course, the student will know the basics of quantitative research applied in the pedagogical and educational areas in all their forms, will know the theories at the base of psychometric analyses, will have the needed skills for the management and input of data and preliminary analyses, will understand the basic psychometric models and their application in the specific field of educational research [Dublin Descriptor No. 1]. The acquired skills will be about the ability at creating a window for data input; creating and reading graphs representing data after the importation; importing the dataset on Spss; carrying out statistical preliminary and basic analyses. The student will be able to apply these skills in educational research [Dublin Descriptor No. 2]. Cross skills will concern the ability at applying what the student has learned to his/her scientific context. Students will be able to interpret and apply in an independent way psychometric analyses, that is to transpose the acquired theoretical knowledge into an application context [Dublin Descriptor No. 3]. During the course, the student will participate to individual and group activities, and he/she will report the experience as a discussion into the classroom or a presentation with slides. Students will report their experiences also through exercises at home, in this case individually, through a written composition. This will allow the student to become competent in summarising with clarity the discussed topics [Dublin Descriptor No. 4]. The course is aimed at making the students independent concerning the basic psychometric analyses, a skill useful for the final thesis or for a detailed study on specific topics during one's career. The student should be able to autonomously use the software Spss concerning the first analyses, understanding the procedure and the theory at its base [Dublin Descriptor No. 5].

Channel 1
ANTONIO CHIRUMBOLO Lecturers' profile

Program - Frequency - Exams

Course program
The course is articulated in four different teaching units. The first part regards the measurement in psychology. The topics will be: psychological measurement; psychological tests and their classification; reliability and validity of psychological measures; types of variables and measurement levels. The second part regards descriptive statistics. The topics will be: frequency distributions; tables and graphs for representing data; indexes of synthesis and variability; measurement standardization and standard scores; normal distribution and its use in Psychology and Social Sciences. The third part regards relationships between variables: Pearson correlation and bivariate linear regression, Non-parametric correlations. The fourth regards probability and statistical inference. The topics will be: the concept of probability; populations and samples; different sampling distributions and their use; inferential statistics; confidence intervals; hypothesis testing and statistical decision making; type error I and II; statistical power; hypothesis testing on means, frequencies, proportions; hypothesis testing with one or two samples; parametrical and non-parametrical tests for hypothesis testing. The course includes several practical exercises to be carried out in the classroom on the topics of the program. The different statistical techniques treated in the course will also be practically illustrated through the use of a freeware statistical software called "jamovi". IMPORTANT. Students from other Faculty or Graduate Courses (e.g., Clinical Engineering, Statistics, Economics etc.) should bring to the exam a broader syllabus, including ALL topics contained in the textbook.
Prerequisites
Basic mathematical competences provided at school will be necessary.
Books
1) For the theoretical part: Ercolani, A.P., Areni, A., e Leone, L. (2008). Elementi di Statistica per la psicologia. Bologna: Il Mulino. (to do chapt. I, II, III, IV, V, VII; not to do chapt. VII, VIII) 2) For the practical part and the exercises: Areni A., Scalisi T.G., Bosco A., e Caffò A.O. (2020). Esercitazioni di psicometria: Problemi ed esercizi svolti e commentati. Milano: Edra. Barbaranelli C., Areni A., Ercolani A.P., e Gori F. (2000). 450 quesiti di Statistica Psicometrica e Psicometria. Milano: L.E.D. 3) Other integrative material (e.g., slides, papers, chapters) will be provided during the course and uploaded on the eLearning web-page, preferably at the end of each teaching units. MPORTANT. Students coming from other Faculties or Degree Courses (e.g. Clinical Engineering, Statistics, Economics etc) should study ALL the arcomments contained in the above textbook (Ercolani, A.P., Areni, A., and Leone, L. (2008).
Frequency
Attendance is optional. Usually, students who regularly attend classes and study during the semester tendo to pass the exam more likely and with statistically significantly higher grades. There is no separate program for non-attenders. However, students from other Faculties or Graduate Courses (e.g., Clinical Engineering, Statistics, Economics etc.) should bring to the exam a broader syllabus, including ALL topics contained in the textbook.
Exam mode
The exam consists of a written test, formed of closed-ended questions with close-ended answers (4 alternatives), to be completed in 60 minutes. Questions are formulated in order to tap and test: a) the basic theoretical knowledge of the discipline; b) the skill to practically solve problems and exercises; c) the understanding of the processes (e.g., statistical decision making); d) the critical reasoning skills (e.g., individuate and apply the correct statistical analysis in relation to a specific research question or problem). The exam will be administered trough the platform exam.net or in paper-and-pencil format.
Lesson mode
The course will be delivered in the classroom.
  • Lesson code1036623
  • Academic year2024/2025
  • CourseEducation and Training Science
  • CurriculumSingle curriculum
  • Year3rd year
  • Semester1st semester
  • SSDM-PSI/03
  • CFU6
  • Subject areaDiscipline scientifiche