Course syllabus ZMETA - Fundamentals of Methodology in EN (FRDIS - WS 2020/2021)Help


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Course code:
ZMETA
Course title in Czech:
Fundamentals of Methodology in EN
Course title in English: Fundamentals of Methodology in EN
Semester:
WS 2020/2021
Mode of completion and number of credits: Exam (5 credits)
Mode of delivery and timetabled classes:
full-time, 2/1 (hours of lectures per week / hours of seminars per week)
Level of course:
master continuing
Course type:
required
Type of delivery: usual
Mode of delivery for our mobility students abroad: -- item not defined --
Language of instruction:
English
Course supervisor:
Course supervising department:
Faculty:
Teachers:
Ing. Mgr. Jiří Čeněk, Ph.D. (examiner, instructor, lecturer, supervisor, tutor)
Mgr. Petr Hušek, Ph.D. (examiner, instructor, lecturer, tutor)
Prerequisites:
none
 
Timetable in this semester:
Day
From-till
Room
Teacher
EntryFrequency
Capacity
Monday
12.00-13.50
Z7 (ČP II.)
not set
Lecture
Every week
40
Monday
14.00-14.50
Z7 (ČP II.)not setSeminar
Every week
22
 
Aim of the course and learning outcomes:
By passing this course the students should acquire the basics of scientific thinking and skills that are vital for conducting research projects.
 
Course content:
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
c.
Meta-analysis

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 activities and teaching methods:
Type of teaching method
Daily attendance
lecture
26 h
practice
13 h
consultation1 h
preparation for exam
50 h
writing of seminar paper
50 h
Total
140 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 1 and 2) Seminar assignments
1) Elaborate a mid-term seminar paper – Short research project proposal
Deadline for uploading in UIS: 25. 10. 2020 23:59

2) Elaborate a final seminar paper – Research project proposal
Deadline for uploading in UIS: 7. 12. 2020 23:59
- Instructions for both uploaded in UIS document server
Folder: Assignments instructions and templates

- 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. (cca 1 week after the hand-in deadline)

Mid-term:
- No need to rework – serves as a guideline for Final assignment

Final:
- If it doesn't meet the minimal criteria, the lecturer can ask the student to improve the paper. (until 31. 12. 2020 23:59)
- In the case student fails to improve the paper according to the feedback, 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 3) Exam
All course materials here: http://user.mendelu.cz/cenek/Fundamentals_of_Methodology/
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.

Additional information:
a) Both assignments need to be handed-in on time!
-- No excuses (apart from a serious illness – medical confirmation required), no exceptions!
--Popular excuses: travelling Europe, work, too many other responsibilities, UIS system error, personal problems, etc…

b) Zero tolerance to a dishonest behavior!
- Cheating
- Plagiarism (See the following links to avoid plagiarism:
https://apus.libanswers.com/writing/faq/2204
https://www.grammarly.com/blog/5-most-effective-methods-for-avoiding-plagiarism/
 
Assessment criteria ratio:
Requirement type
Daily attendance
Total0 %
 
Recomended reading and other learning resources:
Basic:
BRYMAN, A. Social research methods. 4th ed. Oxford: Oxford University Press, 2012. 766 p. ISBN 978-0-19-958805-3.

Recommended:
Selected 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.

Course listed in study plans for this semester:
Field of study C-ITSE-IDSE International Development Studies, full-time form, initial period SS 2019/2020
Programme C-INTSE International Territorial Studies, full-time form, initial period SS 2019/2020
Programme C-REDA Regional Development, full-time form, initial period WS 2020/2021
Programme C-INTSE International Territorial Studies, full-time form, initial period WS 2020/2021
 
Course listed in previous semesters:
WS 2019/2020 (and older)
Teaching place:
Brno


Last modification made by Bc. Vít Karber on 09/14/2020.

Type of output: