Basic knowledge of statistics

At the end of the course, students must be proficient in the following tasks: 1) operationalization of research hypotheses 2) handling and preparation of data 3) use of the main quantitative techniques in social research: a. Selecting the most appropriate technique for each type of research question and data b. Data Analysis c. Interpretation of the analyses 4) a working knowledge of Stata/R/SPSS and basic programming skills

Quantitative research techniques are a key element in the training of future professionals. This course delves into the learning of quantitative social research techniques from an applied perspective. All topics will be approached in a theoretical/practical way, using the statistical package Stata The course is structured as follows: 1. Introduction to quantitative social research 2. Descriptive Analysis 3. Bivariate analysis 4. Multivariate Analysis: 4.1. Linear Regression 4.2. Logistic Regression 5. Visualización and reporting

Master Classes (3 ECTS credits): Lecture on the theoretical content of the subject. Reduce Classes (3 ECTS credits): Practical classes in the computer room using Stata/R/SPSS