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
FABIO ALIVERNINI Lecturers' profile

Program - Frequency - Exams

Course program
Course's contents are related to the study of psychometry, the representation of data and the pertaining analyses, by means of programmes and software useful for psychometry and for research in social science (48 hours, 6 ECTS). The theoretical classes (20 hours) will be specifically about the aspects connected to the theoretical bases of psychometry and of basic analyses, and to the right use of methods of data analysis. By means of these two macro-topics, students will learn how to manage a dataset by using IT tools, starting from the theoretical meaning of research. Finally, the attention will be toward the theoretical and psychometric aspects of statistical analyses. The practical lessons (28 hours), following the theoretical ones, will allow the students to create a right dataset in Excel for data input, taking variables and data from questionnaires given in the classroom. At the same time, the student will be able to autonomously create graphs in Excel in order to describe the data, after their importation into the window. The second part will be dedicated to the knowledge and use of the software for statistical analyses Spss. In this stage, the student will learn how to use the software's basic options: file importation, preliminary statistics, charts, regression, and comparisons among averages. At the end of the course, students will be able to take information and results of statistics, contextualising them within social science and educational research. The Programme will specifically consider the following key topics: representation of data by means of graphs and charts; central tendency and variability; fundamentals of inferential statistics; verification of hypotheses; correlation; prediction (regression); verification of hypotheses with the average of samples.
Prerequisites
Basic mathematical competencies provided at school will be necessary.
Books
Materials and lecture notes given by means of the online platform eLearning2. Arthur Aaron - Elliot J. Coups - Elaine N. Aron. Edizione italiana a cura di Gabriella Antonucci; Edizioni Pearson. Fondamenti di statistica Introduzione alla ricerca in psicologia (chapters: La rappresentazione dei dati tramite grafici e tabelle; Tendenza centrale e variabilità; Concetti fondamentali di statistica inferenziale; la verifica delle ipotesi; La correlazione; La previsione; La verifica delle ipotesi con le medie dei campioni)
Frequency
Attendance is mandatory
Exam mode
The exam will consist of a written test, containing multiple choice questions (1 point for each correct answer) with four answer options; semi-open questions (1 point for each correct answer) to which the examiner will have to answer by identifying the correct answer, identifying it within a table (statistical part); and open, more general questions that may concern theoretical aspects or a detailed description of a graph or table, for a maximum of 4/5 rows (up to 5 points). The aim of the test is to evaluate the theoretical, practical, synthesis, reading knowledge of the student's data and has a duration of about 40 minutes.
  • Lesson code1036623
  • Academic year2024/2025
  • CourseSocial Work
  • CurriculumSingle curriculum
  • Year1st year
  • Semester1st semester
  • SSDM-PSI/03
  • CFU6
  • Subject areaAttività formative affini o integrative