Scheda programma d'esame
SURVEY RESEARCH METHODS
NICOLA SALVATI
Academic year2016/17
CourseMARKETING AND MARKET RESEARCH
Code206PP
Credits9
PeriodSemester 2
LanguageItalian

ModulesAreaTypeHoursTeacher(s)
INDAGINI CAMPIONARIESECS-S/01LEZIONI63
NICOLA SALVATI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge
Survey Research Methods Sampling is acourse for graduate students who have had a previous course in statistics. The students who successfully complete the course will be aware of the basic terms and concepts of the field of survey research. Further, they will have the ability to apply the statistical inference to Internet and telephone surveys and to develop statistical applications within an integrated framework where the error profile of a survey is described in its components of sampling and non sampling error.
Assessment criteria of knowledge
In the oral exam the student will be assessed on his/her demonstrated ability to discuss the main course contents using the appropriate terminology. In the written exam (3 hours, choice of 2 essay questions), the student must demonstrate his/her knowledge of the course material and to organise an effective and correctly written reply. In the group essay the student must demonstrate the ability to put into practice and to execute, with critical awareness, the activities illustrated or carried out under the guidance of the teacher during the course.

Methods:

  • Final oral exam
  • Final written exam
  • Final essay

Further information:
Final oral exam 15% Final written exam 60% Final group essay 25%

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • preparation of oral/written report
  • individual study
  • group work
  • Laboratory work
  • Practical

Attendance: Advised

Teaching methods:

  • Lectures
  • Task-based learning/problem-based learning/inquiry-based learning
  • project work

Syllabus
1. Survey sampling and opinion polls. Sample survey design: topics include the main sampling designs, as random sampling with clustering and stratification. Survey error profile as coverage, nonresponse and measurement error. Telephone and Internet surveys. 2. Analysis of the collected data Emphasis is on proper presentation and interpretation of sampling design and on analysis of survey results. descriptive statistics, graphical methods, major issues in weighting and analysing the collected data for estimation and testing. Use of auxiliary variables in the estimation: ratio and regression estimators.
Bibliography
Required reading: A. Giommi, Dispense di indagini campionarie Cap 1 Introduzione Cap 2 Campionamento casuale semplice (escluso 2.6) Cap 4 Campionamento sistematico Cap 5 Campionamento stratificato Cap 8 Campionamento di grappoli (soltanto paragrafi 8.1 e 8.2) http://www.ds.unifi.it/giommi/disp-indagini-campionarie/ G. Nicolini, D. Marasini, G.E. Montanari, M.Pratesi, M.G. Ranalli, E. Rocco (2013) "Metodi di stima in presenza di errori non campionari", Springer Reccomended reading includes: Sarndal, Swensson and Wretman, Model assisted Survey Sampling, 1992 Springer Verlag NY further bibliography will be indicated for the case studies and group work
Work placement
The activities during work placement are finalized to put into practice and to execute, with critical awareness, the activities illustrated or carried out under the guidance of the teacher during the course.
Updated: 14/11/2016 17:27