Course syllabus ZMETA - Fundamentals of Methodology in EN (FRDIS - WS 2019/2020)

     ECTS syllabus          Syllabus          Timetable          

     Czech          English          

Course code: ZMETA
Course title in language of instruction: Fundamentals of Methodology in EN
Course title in Czech: Fundamentals of Methodology in EN
Course title in English: Fundamentals of Methodology in EN
Mode of completion and number of credits: Exam (5 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes: full-time, 2/1 (hours of lectures per week / hours of seminars per week)
Language of instruction: English
Level of course: master continuing
Semester: WS 2019/2020
Name of lecturer: Ing. Mgr. Jiří Čeněk, Ph.D. (examiner, instructor, lecturer, supervisor, tutor)
Mgr. Petr Hušek, Ph.D. (examiner, instructor, lecturer, tutor)
Martin Kovanič, MA, Ph.D. (examiner, instructor, lecturer, tutor)
doc. PhDr. Mgr. Josef Smolík, LLM, Ph.D., MBA (tutor)
Prerequisites: none
Aims of the course:
By passing this course the students should acquire the basics of scientific thinking and skills that are vital for conducting research projects.
Course contents:
1.Course information (allowance 2/1)
a.Organization of the course, exam(s), assignment(s)

2.Scientific knowledge (allowance 2/1)
a.Deductive and Inductive Theory
b.Forms of Knowledge, Epistemological and Ontological Dimensions of Knowledge
c.Paradigms and paradigm change
d.Methodological Individualism and Holism

3.Process of social research (allowance 2/1)
a.Basic terms: goals of research, research question, hypothesis, theories - constructs - variables
b.Research cycle
c.Types of research; Choosing a research design

4.Measurement (allowance 2/1)
a.From construct to its measurement; Problems with measurement in social sciences; Types of data
b.Types of variables; Measurement levels
c.Measurement error; Reliability; Validity; Bias in measurement

5.Research sample (allowance 2/1)
a.Population and sample; Sample planning; Sampling error
b.Sampling methods
c.Sample size; Sampling in qualitative research

6.Quantitative methods I: Surveys (allowance 2/1)
a.Types of surveys; Attractions of survey research
b.Writing survey questions; Questions and scales; Scaling
c.Ensuring high response rates

7.Quantitative methods II: Experimental designs (allowance 2/1)
a.Correlation and causation
b.History of experimentation
c.Experimental and quasi-experimental designs
d.Constructing an experiment; Experimental control and error variance; Laboratory and field experiments

8.Quantitative methods III: From data to information (allowance 2/1)
a.Preparing for data analysis; Dealing with missing data
b.Selection of analysis based on data: distributions, parametric and non-parametric statistics, data analysis and number of variables - univariate, bivariate and multivariate data analysis
c.Measures of central tendency and measures of variation
d.Statistical hypothesis testing: statistical significance and its limits, correction of significance, effect size

9.Qualitative research I: Data collection (allowance 2/1)
a.What is qualitative about qualitative data
b.Methods of qualitative data collection
c.Qualitative interviewing

10.Qualitative research II: Data analysis (allowance 2/1)
a.What is qualitative data analysis
b.Interpretative approach – what is interpretation and how to interpret data
c.Thematic analysis
d.Qualitative content analysis
e.Discourse analysis

11.Other methods of research and Mixed research designs (allowance 2/1)
a.Breaking-up the quali/quanti divide
b.Mixed research; Strengths and limits

12.Research ethics (allowance 2/1)
a.Ethically problematic research - scientific misconduct
b.Ethical principles - minimal harm, costs and benefits
c.Informed consent; Deception in research

Learning outcomes and competences:
-- item not defined --
Type of course unit: required
Year of study: Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement: There is no compulsory work placement in the course unit.
Recommended study modules: -
Learning activities and study load (hours of study load):
Type of teaching methodDaily attendance
Direct teaching
     lecture26 h
     practice13 h
     consultation1 h
     preparation for exam50 h
     writing of seminar paper50 h
Total140 h
Assessment methods:
In order to finish the course successfully the student has to:
1) Elaborate a mid-term seminar paper - Short research project proposal (student will be provided with a mid-term project form)
2) Elaborate a final seminar paper - Research project proposal (length and structure will be specified at the first lecture)
3) Pass the final exam

ad a and b)
Both seminar papers will be elaborated according to this syllabus and the instructions of the lecturer. For both papers the student will receive a feedback by the lecturer. In the case the seminar paper (midterm/final) doesnt meet the minimal criteria, the lecturer can ask the student to improve the paper. In the case student fails to improve the paper, he/she will not get the course credits and will not be able to attend the exam.

After the successful elaboration of the seminar papers the student receives course credits and can attend the exam.

ad c)
The final exam will be composed of multiple-choice and open-ended questions.
The student has to receive at least 60 % of the total points to successfully pass the exam.

Recommended reading:
TypeAuthorTitlePublished inPublisherYearISBN
RQBRYMAN, A.Social research methodsOxfordOxford University Press2012978-0-19-958805-3
RESelected chapters from: Lune, H. and Berg, B. 2017. ‘A Dramaturgical Look at Interviewing’ in Qualitative Research Methods for the Social Sciences, 9thEdition, Harlow: Pearson.; Hermanowicz, J. 2002. ‘The Great Interview: 25 Strategies for Studying People in Bed.’ Qualitative Sociology, Vol. 25, No. 4; Gibson, W. J. and Brown, A. 2009. “Introduction: qualitative data analysis in context” in Working with Qualitative Data, London: Sage; Willig, C. 2014. ‘Interpretation and Analysis’ in The SAGE Handbook of Qualitative Data Analysis, ed. U. Flick, London: SAGE. BERNARD, H. Russell; BERNARD, Harvey Russell. Social research methods: Qualitative and quantitative approaches. Sage, 2013.; SCHUTT, Russell K. Understanding the social world: Research methods for the 21st century. Sage Publications, 2016.; WEATHINGTON, Bart L.; CUNNINGHAM, Christopher JL; PITTENGER, David J. Research methods for the behavioral and social sciences. John Wiley & Sons, 2010.


Last modification made by Bc. Vít Karber on 08/29/2019.

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