EXPERIMENTATION AND PRESENTATION OF RESULTS

Course objectives

General aims The aim of the course is to learn the methods necessary to conduct a clinical research, from experimental design to data analysis and interpretation. Specific aims Knowledge and understanding To understand the main types of experimental trials in clinical research, comprehend the scientific motivations behind the choices of certain methodologies over others, know and understand the differences between various types of experimental trials, and familiarize oneself with data analysis techniques Applying knowledge and understanding To be able to design an experimental trial, collect, filter, and organize data, and analyze them using statistical software tools. Making judgments To be able to assess the scientific validity, repeatability, and generalizability of an experimental trial, and to critically evaluate a scientific article analytically. Communication skills To be able to communicate the results of an experimental study clearly, both in scientific and divulgative terms, and contextualize them within the scientific literature. Learning skills To be able to develop learning skills useful in reading clinical-scientific texts Prerequisites There are no specific prerequisites for this course.

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MARCO IOSA Lecturers' profile

Program - Frequency - Exams

Course program
The program includes theoretical and laboratory lessons on the nature of science, scientific method and reasoning, verifiability and falsifiability, measurements and sampling, types of variables and scales, an overview of descriptive statistics (frequencies, measures of central tendency, dispersion, and data distribution shapes) and inferential statistics (both parametric and non-parametric, including t-tests, ANOVA, correlation, and chi-square tests). It will also cover basic concepts of epidemiology (odds ratio and risk ratio, sensitivity and specificity), with specific reference to the null hypothesis and its probability (Type I and Type II errors). Additional topics will include: Classical Test Theory (validity, reliability), constructs, latent variables, factor and cluster analysis, regressions and Artificial Neural Networks, meta-analysis, and research ethics (Declaration of Helsinki and ethics committees). Laboratory sessions will use Jamovi software to apply the concepts learned in the theoretical part to practical examples.
Prerequisites
No requirements
Books
Documents uploaded on moodle Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). DOI: 10.24384/hgc3-7p15 https://www.learnstatswithjamovi.com/ Manuale di statistica per la ricerca e la professione. Soliani L, 2005, http://www.dsa.unipr.it/soliani/soliani.html
Frequency
In presence, according to Sapienza dispositions.
Exam mode
Written test and possible oral examination, plus presentations during laboratory sessions
Lesson mode
Lessons with slide presentations and examples.
  • Academic year2025/2026
  • CourseClinical Psychology
  • CurriculumSingle curriculum
  • Year2nd year
  • Semester1st semester
  • SSDM-PSI/03
  • CFU3