
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
· 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.
Prerequisites
- 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
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
Bibliography
· 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
Courses
- Specialization in Information Systems and Technologies Management
- PostGraduate in Information Management and Business Intelligence in Healthcare
- Specialization in Knowledge Management and Business Intelligence – Working Hours Format
- Specialization in Marketing Intelligence
- PostGraduate in Information Systems Governance
- PostGraduate in Enterprise Information Systems
- Specialization in Knowledge Management and Business Intelligence
- PostGraduate in Smart Cities