01/03/2026
The primary aim of the Intermediate Statistics Course is to provide theoretical and practical knowledge of the main data analysis techniques based on Structural Equation Models (SEM), widely used in health and social research.
Following a theoretical introduction to SEM and an overview of the Mplus software, the course progressively covers exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), path analysis, and mediation and moderation models.
During the 32 hours of instruction, participants will engage in numerous guided exercises using специально prepared datasets, with a strong focus on the interpretation of results and their presentation in a scientific format.
No prior knowledge of SEM or Mplus is required; however, a solid understanding of basic statistics (descriptive and inferential statistics, regression analysis) is necessary. Attendance in the Basic Statistics Course is strongly recommended, but not mandatory.
A technical requirement for participation is access to a computer with an internet connection and Mplus installed. Participants are encouraged to bring their own datasets, which may be used during practical sessions.
As a final assessment, each participant will be required to complete a mini applied project consisting of the analysis of a dataset using one or more of the techniques covered during the course (e.g., CFA, path analysis, mediation, or moderation).
The project must include: model specification and estimation, an APA-formatted results table, a graphical representation or diagram of the model, and a brief critical interpretation of the results.
The assignment must be submitted within one week of the end of the course.
open the attachement