Hot Topics in Quantitative Methods
Objectives
Identify the main techniques of quantitative data analysis through state-of-the-art methods; LO2 - Learn how to work with different statistical software; LO3 - Learn the fundamentals of the programming language of different statistical software and its application to estimation of different types of statistical models.
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
In the end of the course, the student will be asked to make an individual assignment in order to evaluate their knowledge acquisition of the LO and CC.
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.