Checking date: 01/04/2019

Course: 2019/2020

Quantitative social research methods
Study: Bachelor in Sociology (208)

Coordinating teacher: TORRE FERNANDEZ, MARGARITA

Department assigned to the subject: Department of Social Sciences

Type: Compulsory
ECTS Credits: 6.0 ECTS


Students are expected to have completed
Basic knowledge of statistics
Competences and skills that will be acquired and learning results. Further information on this link
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 and 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 and the academic weekly planning may change due academic events or other reasons.