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 Stataand basic programming skills
Description of contents: programme
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:
a. Linear Regression
b. Logistic Regression
5. Visualizacio¿n and reporting
Learning activities and methodology
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.
Assessment System
% end-of-term-examination 60
% of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
Cameron, Colin A. & Pravin K. Trivedi . Microeconometrics using Stata. Stata Press. 2010
Long, Scott J. & Jeremy Freese . Regression Models for Categorical Dependent Variables Using Stata. Stata Press. 2014
The course syllabus may change due academic events or other reasons.
