DATA ANALYSIS

Course objectives

GENERAL GOALS: The primary aim of the course is to provide basic knowledge of investigative techniques and statistical analyses used in cognitive neuroscience studies. The general objective is to provide students with the ability to learn the complex experimental processes that characterize cognitive 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.

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GRAZIA FERNANDA SPITONI Lecturers' profile

Program - Frequency - Exams

Course program
The class will cover the following topics: - use of web search for bibliographic research - types of papers and meta-analysis - validity of experimental designs - types of experimental designs - the single case - hypothesis formulation - sample size - methods of data collection - interpretation of results and use of different graphs
Prerequisites
This course is designed for students who want to deepen skills on data analysis skills Prerequisites for taking the course without difficulty are: - basic knowledge of psychometrics - interest in cognitive neuroscience research methods and analysis
Books
Students will be provided with the slides discussed during the lessons. BOOKS Statistics handbook: at choice by the students METODOLOGIA E ANALISI DEI DATI: Metodologia della ricerca in psicologia Donald H. McBurney,Theresa L. White Editore: Il Mulino or Research Design in Clinical Psychology Alan E. Kazdin Pearson Education (US)
Teaching mode
Issues will be theoretically presented during the class; exercises will be performed during the laboratory sessions and they will cover several subjects such as statistical software (SPSS, R) and Pubmed
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 aim of the final exam is to test the students’ learning on the main parts of the experimental methods and experimental studies. The final exam will test the students’ abilities to understand research studies Questions will cover both the theoretical issues and the practical applications data analyses methodology, statistical designs and statistical analyses Specifically, the test questions will focus both on theoretical aspects present in the reference texts and on the interpretation of results of specific experimental designs.
Lesson mode
Issues will be theoretically presented during the class; exercises will be performed during the laboratory sessions and they will cover several subjects such as statistical software (SPSS, R) and Pubmed
  • Lesson code10612020
  • Academic year2025/2026
  • CourseCognitive Neurosciences and Psychological Rehabilitation
  • CurriculumNeuropsicologia (percorso formativo valido anche ai fini del rilascio del doppio titolo italo-colombiano)
  • Year2nd year
  • Semester1st semester
  • SSDM-PSI/03
  • CFU6