XAMDC Methodology of Data Collection and Interpretation

Moravian Business College Olomouc
winter 2020
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: z (credit).
Teacher(s)
doc. et doc. PhDr. Kateřina Ivanová, Ph.D. (lecturer)
PhDr. Dana Bernardová, Ph.D. (seminar tutor)
Mgr. Pavla Ludvíková, Ph.D. (seminar tutor)
Guaranteed by
doc. et doc. PhDr. Kateřina Ivanová, Ph.D.
Moravian Business College Olomouc
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.
Course objectives
The aim of the course is to train the students to be able to identify and formulate a research problem and set the objective of their thesis/research work so that it is the basis for the selection of a methodological paradigm; to operationalise the objective according to the PICO principle for a quantitative research or according to the PPC principle for a qualitative research and to determine the keywords and the information search strategy; to determine the theoretical background of the research and to formulate hypotheses or research questions. The objective of the course is also to acquaint the students with the methods of collecting, analyzing and interpreting data for different types of research, including their advantages and disadvantages. Last but not least the course aims at preparing the students for the processing of their thesis.
Syllabus
  • 1. Research problem and the objective, the quantitative and qualitative paradigm, differences, examples, keywords
    2. Information research strategy and record evidence in accordance with the PICO and PCC principles
    3. Determination of theoretical hypotheses and research questions
    4. Quantitative investigation, methods of approach
    5. Project structure for field quantitative testing, pilot testing and pre-search
    6. Data collection methods for a quantitative survey (questionnaire, structured interview, structured observation, content analysis, measurement, experiment, structured serial case reports)
    7. Statistical methods of data analysis
    8. Interpretation of statistical data
    9. Qualitative survey, methods of approach and project structure for field qualitative survey
    10. Data collection methods for a qualitative survey (unstructured interview, content analysis, case reports, careers, unstructured observation - videos, photos, events)
    11. Methods of data analysis - open, axial, selective coding and qualitative data interpretation
    12. Mixed research
    The course is methodically based on dialogue and participatory methods (dialogue in the whole group) and situational or case methods. Research methods are also used for data analysis.
Literature
    required literature
  • LIAMPUTTONG, P. Qualitative Research Methods. 4th ed. Australia & New Zeland: Oxford Univ. Press, 2013. ISBN 978-01-955-1855-9. info
  • SILVERMAN, D. Qualitative research: issues of theory, method, and practice. 3rd ed. Los Angeles: Sage, 2011. ISBN 978-1849204170. info
  • JONKER, J. and B.J.W. PENNINK. The essence of research methodology: a concise guide for master and PhD students in management science. London: Springer, 2010. ISBN 978-3-540-71658-7. info
    recommended literature
  • RUBIN, A. and E.R. BABBIE. Essential research methods for social work. 2nd ed. Belmont, CA: Brooks/Cole, Cengage Learning, 2010. ISBN 9780495604372. info
Language of instruction
English
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
  • Enrolment Statistics (recent)
  • Permalink: https://is.mvso.cz/course/mvso/winter2020/XAMDC