METHODS OF ASSESSMENTS IN AFFECTIVE NEUROSCIENCE

Course objectives

INGLESE GENERAL GOALS: The primary aim of the course is to provide basic knowledge of investigative techniques and statistical analyses used in affective neuroscience studies. The general objective is to provide students with the ability to learn the complex experimental processes that characterize affective neuroscience studies. SPECIFIC GOALS: The various techniques used in this field (behavioral, psychophysical, electrophysiological and imaging) require the formulation of ad hoc experimental designs for each hypothesis. To this end, example studies will be presented on which issues related to: sampling, validity, experimental design, hypothesis formulation, analysis and writing up of results will be explored. Special attention will be paid to the concept of operationalization and measurement of the variables of interest. ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: The student will be expected to show knowledge and understanding analyze and resolve dimensions related to the formulation of a proper sprimental design in the field of affective neuroscience. This objective will be achieved through lectures, laboratory activities and exercises in which simulations or discussion with direct student participation are planned with regard to problems and analysis of experimental designs. The foundation will thus be laid for the acquisition of skills - in understanding and planning an experimental design - in choosing the appropriate technique for the hypothesis - in defining ad hoc psychometric strategies - in the interpretation of results - in the critical writing of literature (e.g., introduction and discussion of papers) JUDGMENTAL AUTONOMY: The student should be able to know how to independently evaluate possible methodologies and/or techniques to be used in solving the problems with which he/she is confronted. COMMUNICATIVE SKILLS & LEARNING SKILLS: The student must demonstrate the development of his or her communication skills both through discussion with the lecturer during the development of project work and in the writing of papers to be presented during the course via slides. He/she must also demonstrate the ability to set up a scientific paper using appropriate terminology and language PREREQUISITES: As with most of the teachings in the master's courses, this course requires the possession of skills acquired during the bachelor's degree program. The concept of "assessment" presupposes knowledge of the approach to the study of psychological tests and the related basic knowledge proper to psychometrics. In addition, knowledge of basic English is req

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GRAZIA FERNANDA SPITONI Lecturers' profile

Program - Frequency - Exams

Course program
TEACHING PROGRAM. The course is divided into three modules that are homogeneous in content related to frontal lectures, while there are three modules for the laboratory. The 24 face-to-face hours will cover the following topics: 1) Introduction: what is meant by AFFECTIVE NEUROSCIENCE AND NEUROPSICANALYSIS. 2) Experimental designs What they are, how they differ from other studies, simple research designs, effect-size and sample size, methodological problems in psychotherapy research. 3) The methods of affective neuroscience (from behavioral to psychophysiological studies). The hours planned for the workshop will cover the following topics: 1) Principles on measurement scales . In this module we will review concepts, principles, applications, scoring methods, and measurement selection criteria to enable users to choose the most appropriate instruments for their purposes 2) Development of an experimental design: validity, reliability, sensitivity and responsiveness. In this module, issues related to the process of developing an experimental design in affective neuroscience will be addressed. Special attention will be paid to the concepts of Validity in both theoretical and psychometric terms. Several individual or group practical activities are planned within this module. 3) Single Case Analysis: in this module we will cover the main survey methodologies and data analysis of the single case study. In detail, AB, ABA, ABAB and multiple baseline designs will be covered. The statistical part will mainly focus on Crawford's methods. Translated with www.DeepL.com/Translator (free version)
Prerequisites
As with most courses in the master's program, this course involves the possession of skills acquired during the bachelor's program. It requires knowledge of the approach to the study of psychological tests and the related basic knowledge of psychometrics. In addition, knowledge of basic English is required.
Books
Reference books and articles will be announced soon
Frequency
attendance to date, no remote classes are scheduled this condition may be subject to change if it becomes necessary to make up hours of classes
Exam mode
The examination is written and conducted in person according to the examination schedule. There are no midterm examinations. The exam may contain multiple questions, open questions and exercises. For students who will have to take the test remotely for justified reasons, an oral supplement is also provided at the request of the lecturer.
Lesson mode
Each topic will be addressed both theoretically and practically. lectures will therefore be organized so as to 1) introduce basic theoretical concepts, 2) define designs suitable for the study at hand, and 3) apply statistics through data processing software (SPSS, Jamovi).
  • Lesson code10611902
  • Academic year2024/2025
  • CourseApplied Dynamic and Clinical Psychology
  • CurriculumDevelopmental psychopathology
  • Year1st year
  • Semester2nd semester
  • SSDM-PSI/03
  • CFU6
  • Subject areaPsicologia generale e fisiologica