Survey Methods


·     To cover basic theoretical and practical aspects of survey sampling;

·     Familiarize participants with sampling terminology and the general objectives of sample surveys;

·     Present the classical Statistical sampling methods, conditions and situations where each one is appropriate;

·     Provide practice in applying the sampling methods discussed in class and the calculations of sample dimensions, desired estimates and their measures of precision;

·     Be able to apply new knowledge in a daily work environment.

General characterization





Responsible teacher

José António de Almeida Pinheiro


Weekly - Available soon

Total - Available soon

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English


  • Perfect knowledge of general statistics
    • descriptive statistics
    • inductive statistics;
  • Perfect conceptual master of specific concepts like
    • Random Variable
    • Distribution
    • Parameters
    • Estimator
    • Estimate
    • Estimators’ properties
    • Confidence intervals
    • Hypothesis testing
    • Central limit Theorem




·     William G. Cochran (1977) Sampling Techniques, 3-rd Ed. New York: Wiley, ISBN 0-471-16240-X

·     Carl-Erik Särndal, Bengt Swensson, Jan Wretman (1992) Model Assisted Survey Sampling. New York: Springer Verlag, ISBN 0-387-97528-4

·     Carl-Erik Särndal, Sixten Lundström (2005) Estimation in Surveys with Nonresponse. Chichester: Wiley, ISBN 0-470-01133-5

·     Coelho P, Pereira L, Pinheiro J and Xufre P (2016), Sondagens, Livraria escolar Editora.


Teaching method

Theoretical and practical lectures 

Evaluation method

Theoretical and ptractical lectures

Subject matter

·     General framework, notation and terminology

·     Simple random sampling

·     Stratified random sampling

·     Cluster sampling

·     Two-stage sampling

·     Estimation of a ratio

·     Use of auxiliary information

·     Estimation in domains