114-0461/01 – Introduction to economic research (UEV)

Gurantor departmentDepartment of EconomicsCredits5
Subject guarantordoc. Ing. Jiří Balcar, Ph.D., MBASubject version guarantordoc. Ing. Jiří Balcar, Ph.D., MBA
Study levelundergraduate or graduateRequirementCompulsory
Study languageCzech
Year of introduction2020/2021Year of cancellation
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
BAL112 doc. Ing. Jiří Balcar, Ph.D., MBA
FIL03 Ing. Lenka Johnson Filipová, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Part-time Credit 6+6

Subject aims expressed by acquired skills and competences

• formulate and operationalize the research question / hypothesis • identify a relevant population and define a sample of observations • select a suitable data source and a tool for data gathering • prepare data for processing • use basic data processing methods • interpret and present results • learn to work with Stata software

Teaching methods



Students will acquire the basic skills needed for analyzing, writing research reports and presenting their results and recommendations. During the semester students will be gradually acquainted with the individual phases of economic research.

Compulsory literature:

Disman, M. (2002). Jak se vyrábí sociologická znalost. Praha: Karolinum. ISBN: 9788024601397 De Vaus, David (2013). Surveys in social research. 6th ed. London: Taylor & Francis Ltd. ISBN 0415530180. Minot, N. (2009). Using STATA for Survey Data Analysis. Washington: International Food Policy Research Institute.

Recommended literature:

Kozel, R., Mynářová, L., Svobodová, H. (2011). Moderní metody a techniky marketingového výzkumu. Praha: Grada Publishing. ISBN 978-80-247-3527-6. Nussbaumer Knaflic, C. (2015). Storytelling with Data: A Data Visualization Guide for Business Professionals. 1st ed. New York: Wiley. ISBN 1119002257. Řezánková, H. (2011). Analýza dat z dotazníkových šetření. Praha: Professional Publishing, ISBN 978-80-7431-062-1

Way of continuous check of knowledge in the course of semester

ISP: Processing of a set of tasks through a seminar paper, test. For other students the same conditions apply.


Other requirements

Active particiation in classes.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

• The nature of economic research and its basic limitations, forms of research (descriptive, experiment, ...) • Formulation of problems, research questions, hypotheses and their operationalization, validity and reliability of variables • Population and sample decisions, representativeness and sample weights • The importance of pilot studies, their forms, sources of information for these studies • Sources of statistical data, data collection techniques (observation, interview, questionnaire, document analysis, ...) and their limitations • Design of data gathering tools (observation sheets, questionnaire, ...), principles of questions formulation, verification of data gathering tools • Data gathering and preparation for further processing (data control, preparation of variables, missing observation problem, etc.) • Types of variables (categorical, ordinal, interval), basic methods of statistical analysis (crosstables, Chi2 test, correlation) • Basic methods of statistical analysis (hypothesis testing, cluster analysis, factor analysis) • Principles of writing analyses, types of research outputs (monograph, article, research report, study, ...), formal requirements and citation standards • Academic writing (structure of written text, content of individual parts of the analysis, principles of written speech) • Graphic representation of information, charts and figures • Principles of presentation of research results (preparation of presentation, verbal speech, non-verbal speech) • Statistical Data Analysis Software (STATA, R, SPSS)

Conditions for subject completion

Part-time form (validity from: 2020/2021 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit Credit 100 (100) 51 3
        Test Written test 100  51
Mandatory attendence participation: Attendance at lectures and tutorials is not mandatory.

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Conditions for subject completion and attendance at the exercises within ISP: ISP: Processing of a set of tasks through a seminar paper, test.

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2023/2024 (B0311A050004) Applied Economics (S02) Economic Development K Czech Ostrava 2 Compulsory study plan
2022/2023 (B0311A050004) Applied Economics (S02) Economic Development K Czech Ostrava 2 Compulsory study plan
2021/2022 (B0311A050004) Applied Economics (S02) Economic Development K Czech Ostrava 2 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

Předmět neobsahuje žádné hodnocení.