INMDAKKM Quantitative and Qualitative Methods

School of Business Administration in Karvina
Summer 2025
Extent and Intensity
0/0/0. 15 credit(s). Type of Completion: dzk.
Teacher(s)
doc. RNDr. David Bartl, Ph.D. (lecturer)
doc. Ing. Iveta Palečková, Ph.D. (lecturer)
Guaranteed by
doc. RNDr. David Bartl, Ph.D.
Department of Informatics and Mathematics – School of Business Administration in Karvina
Contact Person: Mgr. Radmila Krkošková, Ph.D.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives (in Czech)
The aim of the course is to deepen and expand the theoretical knowledge of statistics and operational analysis from master’s studies, specifically to present modern mathematical-statistical methods, multi-criteria decision-making methods, and qualitative research methods, with regard to applications in the economic field, especially marketing, management, and finance. The aim is also to acquire the relevant computational skills with adequate software tools on the computer (Excel, Stata, Eviews, SPSS, etc.).
Learning outcomes (in Czech)
After completing the course, the PhD student will:
- have extensive knowledge of all basic concepts of modern mathematical-statistical methods, multi-criteria decision-making methods, and qualitative research methods;
- understand modern mathematical-statistical methods, multi-criteria decision-making methods, and qualitative research methods;
- be able to apply modern mathematical-statistical methods, multi-criteria decision-making methods, and qualitative research methods, particularly in the economic field (marketing, management, finance, etc.).
Syllabus (in Czech)
  • 1. Statistical Methods for Economic Data Analysis and Quality Management
    Statistical hypothesis testing (t-test for the mean and t-test for means, two-sample F-test of equality of variances). Univariate regression and correlation analysis. Multivariate regression analysis. Analysis of variance (ANOVA). Basics of experiment design. Quality management and assessment of the production process.
  • 2. Econometric Analysis of Time Series
    Basic approaches to specific problems of time series analysis. Decomposition principles of time series analysis in economics. Box-Jenkins methodology: ARIMA and SARIMA models. Multivariate time series models. Cointegration of time series. Linear regression model and dynamic models, outlier, panel data analysis.
  • 3. Multi-Criteria Evaluation and Decision-Making Methods
    Multi-criteria decision-making methods. Analytic Hierarchy Process (AHP). Methods of decision-making under risk and uncertainty. Use of Excel and of the Application to Support Analytical Decision-Making to solve multi-criteria decision-making problems.
  • 4. Qualitative Research Methods
    Qualitative and mixed research methods. Qualitative research approaches. Case study. Methods of collecting qualitative data (qualitative interviewing, observation, document collection, data mining from documents and artefacts). Research validity. Qualitative data analysis. Preparation, coding, and visualization of data. Research report. Secondary data analysis and meta-analysis.
Literature
    required literature
  • TISDELL, Elizabeth J., Sharan B. MERRIAM and Heather L. STUCKEY-PEYROT. Qualitative Research: A Guide to Design and Implementation. 5th Edition. Jossey-Bass (Willey), 2025, 448 pp. ISBN 978-1-394-26644-9. info
  • MEHMETOGLU, Mehmet and Tor Georg JAKOBSEN. Applied Statistics Using Stata: A Guide for the Social Sciences. Second Edition. SAGE Publications, 2022, 488 pp. ISBN 978-1-5297-4256-5. info
  • ASTERIOU, Dimitrios and Stephen G. HALL. Applied Econometrics. 4th edition. Bloomsbury Publishing, Bloomsbury Academic, 2021. ISBN 978-1-352-01202-6. info
  • KELLER, Gerald and Nicoleta GACIU. Statistics for Management and Economics. 2nd Edition. Cengage, 2019. ISBN 978-1-4737-6826-0. info
  • PATTON, Michael Quinn. Qualitative Research & Evaluation Methods: Integrating Theory and Practice. Fourth Edition. SAGE Publications, 2014, 832 pp. ISBN 978-1-4129-7212-3. info
    recommended literature
  • BARTL, David and Jaroslav RAMÍK. Decision analysis for managers: Distance study text. Karviná: Slezská univerzita v Opavě, Obchodně podnikatelská fakulta v Karviné, 2023. info
  • GUJARATI, Damodar N. Essentials of Econometrics. Fifth Edition. SAGE Publications, 2023, 632 pp. ISBN 978-1-0718-5039-8. info
  • TIMUĽÁK, Ladislav and Mary CREANER. Essentials of Qualitative Meta-Analysis. American Psychological Association, 2022, 100 pp. ISBN 978-1-4338-3848-4. info
  • SIEGEL, Andrew F. and Michael R. WAGNER. Practical Business Statistics. Eighth Edition. Academic Press (Elsevier), 2022. ISBN 978-0-12-820025-4. Available from: https://dx.doi.org/10.1016/C2019-0-00330-5. info
  • THRANE, Christer. Applied Regression Analysis: Doing, Interpreting and Reporting. 1st Edition. Routledge, 2020, 202 pp. ISBN 978-1-138-33547-9. info
  • YIN, Robert K. Case Study Research and Applications: Design and Methods. Sixth Edition. SAGE Publications, 2017, 352 pp. ISBN 978-1-5063-3616-9. info
  • ENDERS, Walter. Applied Econometric Time Series. 4th Edition. Wiley, 2014, 496 pp. ISBN 978-1-118-80856-6. info
  • KRISHNAIAH, K. and P. SHAHABUDEEN. Applied Design of Experiments and Taguchi Methods. New Delhi: PHI Learning, 2012. ISBN 978-81-203-4527-0. info
  • STEUER, Ralph E. Multiple Criteria Optimization: Theory, Computation, and Application. New York: Wiley, 1986. Wiley Series in Probability and Statistics. ISBN 0-471-88846-X. info
Teaching methods (in Czech)
tutorials, self-study, individual consultations; independent preparation of a seminar paper (composed of three parts)
Assessment methods (in Czech)
Oral examination: presentation/defence of the seminar paper (composed of three parts) and a discussion (on each part of the seminar paper). During the discussion, the PhD student must demonstrate knowledge of basic concepts, an understanding of modern mathematical-statistical methods, multi-criteria decision-making methods, and qualitative research methods, as well as the ability to apply these methods, particularly in the economic field.
Language of instruction
English
Further comments (probably available only in Czech)
Study Materials
Information on the extent and intensity of the course: 16 hodin.
The course is also listed under the following terms Winter 2024.
  • Enrolment Statistics (recent)
  • Permalink: https://is.slu.cz/course/opf/summer2025/INMDAKKM