Universidade Nova de Lisboa

Universidade Nova de Lisboa

NOVA Information Management School

Survey Methods

Code

200089

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

José António de Almeida Pinheiro

Teaching language

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

Objectives

This course aims to provide the students with knowledge on survey methodology, with particular emphasis on probabilistic sampling. The course covers the main forms of sampling design: simple random sampling, stratified sampling, cluster sampling and two-stage sampling.
The selection of sampling units with equal and unequal probabilities is covered, in particular selection with probabilities proportional to size. An introduction to ratio and domain estimation is also presented as well as introductory topics on using auxiliary information.  With this course students should be able to select an appropriate sampling design for any particular survey, to determine the appropriate sample size, to choose the right estimators and to produce measures of precision of the estimation.  Through a research project students should gain an understanding on sampling methodologies.

Prerequisites

Perfect knowledge of descriptive statistics and inductive statistics;

Subject matter

  1. Introduction
  2. Simple random sampling
  3. Stratified random sampling
  4. Post-stratification
  5. Complex designs: cluster sampling and two-stage sampling
  6. Ratio and domain estimation
  7. Using auxiliary infomation

Bibliography

Barnet, V. (2002). Sample Survey - Principles & Methods. London, Arnold; Cochran, W. (1977). Sampling Techniques. New York, Wiley.; Dussaix, A.-M. and J.-M. Grosbras (1992). Exercices de Sondages. Paris, Economica.; Grosbras, J.-M. (1987). Methodes Statistiques des Sondages. Paris, Economica.; Särndal, C.-E., B. Swensson. J. Wretman (1992). Mo

Teaching method

  1. Introduction
  2. Simple random sampling
  3. Stratified random sampling
  4. Post-stratification
  5. Complex designs: cluster sampling and two-stage sampling
  6. Ratio and domain estimation
  7. Using auxiliary infomation

Evaluation method

Intermediate test, final exam, courses participation

Courses