Theoretical basis of sample surveys. Defining the target population and population survey. Design survey. The collection of information: the questionnaire.
Tools and major investigation techniques. Probability sampling simple and complex. The sources of error in surveys and their measurement. The non-probability sampling.
Course Content - Last names L-Z
Introduction to the theory of survey sampling. The planning of the survey. Sampling techniques frequently used in the practice: simple random sampling, stratified, systematic and cluster sampling. Notes on non sampling problems, with particular attention to non response.
Giommi A., Petrucci A. Introduzione al campionamento statistico da popolazioni finite. (teaching material)
Learning Objectives - Last names A-K
Enabling students to acquire gently the basic concepts and the methods and techniques of the sampling design and strategies in the context of the theory of sampling from finite populations. Knowing how to use the concepts learned in the interpretation of surveys with complex sampling schemes.
Prerequisites - Last names A-K
no one
Teaching Methods - Last names A-K
lessons
Further information - Last names A-K
no one
Type of Assessment - Last names A-K
written examination and oral defense
Course program - Last names A-K
Introduction: sample selection and measurement bias, questionnaire design, sampling and non-sampling errors;
Simple Probability Samples: types and framework of probability samples, simple random sample (SRS), confidence intervals, sample size estimation, systematic sampling;
Stratified Sampling: definition, proportional and optimal allocation schemes;
Cluster Sampling: cases of equal and unequal probabilities, one- and two-stage clustering;
Non-Response and Missing Data: ignoring non-response, non-sampling errors, mechanisms for non-response, weighting methods, imputation.
The non-probability sampling.