PSYCHOMETRICS QUANTITATIVE RESEARCH AND DATA ANALYSIS
Course objectives
General aims The course aims to provide students with a solid training in quantitative research techniques and data analysis ap-plied to the field of dynamic and clinical psychology. Students will acquire advanced skills in psychometrics, essential for the design and interpretation of research studies and for clinical assessment based on standardized tools. Specific aims Knowledge and understanding Students will acquire: in-depth knowledge of statistical theories and models used in psychometrics; understanding of quantitative research methodologies and data collection and analysis techniques in psychology; familiarity with the major psychometric tests used in clinical assessment and research. Applying knowledge and understanding Students will be able to: apply statistical methods to analyze data collected in clinical and research settings; use Jamovi statistical software for psychometric data processing; design research studies that include the selection, application and interpretation of psychometric tests and scales. Making judgments Students will develop: the ability to critically evaluate the research literature, discerning the quality and appropriate-ness of psychometric instruments used; the autonomy to formulate hypotheses based on quantitative data and to choose the most appropriate psychometric instruments for specific clinical and research contexts. Communication skills Students will acquire: the ability to present research findings, data interpretations and psychometric evaluations both orally and in writing, with clarity and precision; skills to communicate effectively with colleagues, clients and non-specialist stakeholders, using technical language appropriately. Learning skills Students will be able to: continue to learn independently, deepening their psychometric and research skills; keep abreast of methodological and technological innovations in the field of quantitative research in psychology. Prerequisites For optimal learning, it is recommended that students possess: a basic knowledge of descriptive and inferential statis-tics; familiarity with basic concepts of psychology and, preferably, clinical psychology; basic computer skills, including the ability to use data elaboration software.
Program - Frequency - Exams
Course program
Prerequisites
Books
Frequency
Exam mode
Lesson mode
Program - Frequency - Exams
Course program
Prerequisites
Books
Frequency
Exam mode
Lesson mode
- Lesson code10611903
- Academic year2024/2025
- CourseApplied Dynamic and Clinical Psychology
- CurriculumClinical psychosexology
- Year1st year
- Semester1st semester
- SSDM-PSI/03
- CFU9
- Subject areaPsicologia generale e fisiologica