Course: Methods of Public Opinion Research

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Course title Methods of Public Opinion Research
Course code KMI/MVVM
Organizational form of instruction Lecture
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 3
Language of instruction Czech
Status of course unspecified
Form of instruction unspecified
Work placements unspecified
Recommended optional programme components None
Lecturer(s)
  • Rost Michael, doc. Ing. Ph.D.
Course content
1 - Introduction 2 - Historical aspect of public opinion polls 3 Statistical software, STATISTICA;SPSS; R 4 - methods for determination of the sample size in public opinion polls,how to make a questionnaire, questioner, interviewer , sources of the economic data 5 - method for survey, question of sample size in opinion polls 6 - problematic of the missing data, scaling 7 - data analysis observed on the sample and their visualization 8 Point estimate and construction of confidence intervals 9 Hypothesis tests, specific nonparametric tests 10 - Specific statistic approach applicable for public opinion polls data analysis

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
  • Class attendance - 28 hours per semester
  • Preparation for classes - 28 hours per semester
  • Preparation for credit - 14 hours per semester
  • Preparation for exam - 14 hours per semester
Learning outcomes
This course introduces students to methods applicable for research of the public opinion poll. Students are introduced to methodology for analysis of social, political and marketing research. They meet the main principles for creating questionnaires.
Students understand the basic principles of advanced statistical methods. Students are able to communicate with programming environment R.
Prerequisites
The course has no prerequisities.
KMI/TPS
----- or -----
KMI/TPSA

Assessment methods and criteria
Combined exam, Test

Credit Requirements: Attendance in lab Examination Requirements: To pass written part of exam you have to solve absolute majority of problems.
Recommended literature
  • Anděl, J.:. Satistické metody.. Praha : MATFYZPRESS, 1993.
  • Hendl, J. Přehled statistických metod zpracování dat.. Praha: Portál, 2006. ISBN 80-7367-123-9.
  • Simonoff, J.S. Analyzing Categorical Data. New York : Springer, 2003. ISBN 0-387-00749-0.
  • Venables, W., N., Ripley, B.D. Modern Applied Statistics with S. New York : 4th ed, 2002. ISBN 0-387-95457-0.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester