Hot Topics in Quantitative Methods
Objectives
Identify the main techniques of quantitative data analysis through state-of-the-art methods(*)
Learn how to work with different statistical software.
Learn the fundamentals of the programming language of different statistical software and its application to estimation of different types of statistical models.
(*2023-2024. The updated course’s syllabus will be available to students at the beginning of each academic term)
General characterization
Code
6214
Credits
7
Responsible teacher
TBA
Hours
Weekly - Available soon
Total - Available soon
Teaching language
English
Prerequisites
n/a
Bibliography
Byrne, B. (2011). Structural equation modeling with Mp/us: Basic concepts, applications, and programming. London:
Routledge; Muthen, L. K. & Muthen, B. 0. (1998-2010). Mp/us User's Guide (Sixth Ed.). Los Angeles, CA: Muthen & Muthen.
Teaching method
In some classes of this course, basic concepts of specific research methods and use of the corresponding statistical software, as well as its programming language, will be explained. Acquired knowledge will be applied in practical exercises. Individual exercises will also be proposed, always using the proposed statistical software.
Evaluation method
The grading scale used is typically ranging from 0 to 20 (10 points is considered the threshold pass grade). A qualitative Pass/Fail grading can also be used.
Subject matter
Introduction to the specific research methods and statistical software; CC2 - Introduction to specific statistical software's' working environment and programming language; CC3 - Estimation of different statistical models.