114-0461/01 – Introduction to economic research (UEV)
| Gurantor department | Department of Economics | Credits | 5 |
| Subject guarantor | doc. Ing. Jiří Balcar, Ph.D., MBA | Subject version guarantor | doc. Ing. Jiří Balcar, Ph.D., MBA |
| Study level | undergraduate or graduate | Requirement | Compulsory |
| Year | 2 | Semester | summer |
| | Study language | Czech |
| Year of introduction | 2020/2021 | Year of cancellation | |
| Intended for the faculties | EKF | Intended for study types | Bachelor |
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
Lectures
Tutorials
Summary
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:
Recommended literature:
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.
E-learning
Other requirements
Active particiation in classes.
Prerequisities
Subject has no prerequisities.
Co-requisities
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
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.