Checking date: 10/05/2022

Course: 2022/2023

Survey Analysis
Study: Master in Political and Electoral Analysis (344)

Coordinating teacher: GARCIA ALBACETE, GEMA MARIA

Department assigned to the subject: Department of Social Sciences

Type: Compulsory
ECTS Credits: 6.0 ECTS


COMPETENCES: CB6: Acquire and understand knowledge that offers a base or opportunity to be original in the development and/or application of ideas, often in a research context CB7: Students can apply the knowledge acquired and able to solve problems in new or less known contexts related to the area of study CB8: That students are able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments CB10: That students have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous. CG1: Ability to plan and carry out autonomously research in the field of public opinion or political behavior. CG2: Ability to interpret and integrate information from the political and social environment in order to be able to effectively analyze a situation with incomplete information. CG3: Ability to apply the specialized theoretical and methodological knowledge from the discipline to the current political and social phenomena in a practical way. CG4: Mastery of the necessary tools for obtaining data and empirical information, especially of a quantitative nature, the evaluation of its validity and relevance, and its effective use in political analysis. CG5: Ability to adequately convey in the analyzes the inherent uncertainty of political and social phenomena CG6: Ability to elaborate and communicate political analyses in a clear manner and present them to both specialized and non-specialized audiences.
Skills and learning outcomes
Description of contents: programme
Survey analysis: 1. Analysis of multivariate data and inference 2. Advanced techniques for analyzing political and electoral polls 3. Analysis and treatment of the "no response" in public opinion surveys 4. Practical cases of advanced analysis of public opinion in Spain
Learning activities and methodology
AF3 Theoretical- practical classes AF4 Lab sessions AF5 Tutorials AF6 Group work AF7 Individual student work Teaching methodology: MD1: Lectures with support of computer and audiovisual media, in which the main concepts of the subject are developed and the bibliography is provided to complement the students' learning MD3: Resolution of practical cases posed by the teacher individually or in groups MD3: Students' presentations and discussions in class MD4: Preparatio of papers and reporst individually or in groups
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100
Basic Bibliography
  • Aldás, Joaquin and Ezequiel Urial. Análisis multivariante aplicado con R. Paraninfo. 2017
  • Gareth, James; Daniel Witten, Trevor Hastie and Robert Tibshirani. An introduction to Statistical Learning with applications in R. Springer. 2013
  • Peña, Daniel and Juan Romo. Introducción a la estadística para las ciencias sociales. McGraw-Hill. 2003
  • Wickham, Hadley and Garret Grolemund. R for Data Science. Import, tidy, transform, visualize, and model data. O'Reilly. 2016
Additional Bibliography
  • Gujarati, Damodar. Econometría. McGraw Hill. 2010
  • Long, Scott and Jeremy Freese. Regression Models for Categorical Dependent Variables Using Stata. Stata Press. 2014
  • Muenchen, Robert A and Joseph Hilbe. R for Stata Users. Springer . 2010
  • Peña, Daniel . Estadi¿stica. Modelos y Me¿todos. Tomo I: Fundamentos. Alianza Universidad. 1999
  • Rivero, Gonzalo. Análisis de datos incompletos en Ciencias Sociales. . Cuadernos Metodológicos CIS. 2011

The course syllabus may change due academic events or other reasons.