Course: Methodology 2

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Course title Methodology 2
Course code UPV/SK4ME
Organizational form of instruction Lecture + Moodle
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Hladík Jakub, doc. Mgr. Ph.D.
Course content
- To analyze the data collected during the survey. - Sorting of the first and second degree. Statistical Methods for testing hypotheses in questionnaires (Test goodness of fit chi-square. Tests of independence chi-square. Contingency coefficients. A signed interpretation of the PivotTable diagram). - Selected methods of data collection in educational research (interviews, observation of teaching and his comrades, the application of sociometry, tests). - Statistical Methods for testing hypotheses (Sign test. Spearman correlation coefficient, Kendall coefficient of agreement, Pearson correlation coefficient, paired t-test, Student's t-test). - Data analysis in programme Statistica. - Report on the research.

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Practice exercises
  • Home preparation for classes - 70 hours per semester
  • Preparation for examination - 70 hours per semester
  • Participation in classes - 10 hours per semester
learning outcomes
Knowledge
knowledge of the types of questionnaire items
knowledge of the types of questionnaire items
knowledge of the principles of the use of sociometry
knowledge of the principles of the use of sociometry
knowledge of the principles of semantic differential
knowledge of the principles of semantic differential
knowledge of the selected qualitative approaches (grounded theory, IPA, case study, ethnography)
knowledge of the selected qualitative approaches (grounded theory, IPA, case study, ethnography)
knowledge of the principles of interview data analysis
knowledge of the principles of interview data analysis
Skills
constructs a questionnaire
constructs a questionnaire
interprets the results of a sociometric test
interprets the results of a sociometric test
interprets the results of a semantic diferential
interprets the results of a semantic diferential
performs open data encoding
performs open data encoding
explains the principle of using qualitative approaches (grounded theory, IPA, case study, ethnography)
explains the principle of using qualitative approaches (grounded theory, IPA, case study, ethnography)
teaching methods
Knowledge
Practice exercises
Practice exercises
Monologic (Exposition, lecture, briefing)
Monologic (Exposition, lecture, briefing)
assessment methods
Analysis of the student's portfolio
Analysis of the student's portfolio
Recommended literature
  • Cesty pedagogického výzkumu. Brno : Paido, 2004. ISBN 80-7315-078-6.
  • ČERMÁK, I., MIOVSKÝ, M. Kvalitativní výzkum ve vědách o člověku na prahu třetího tisíciletí. Boskovice: Albert, 2000. ISBN 80-85834-96-0.
  • DISMAN, M. Jak se vyrábí sociologická znalost?. Praha: Karolinum, 1993. ISBN 80-7066-822-9.
  • Fay, Brian. Současná filosofie sociálních věd : multikulturní přístup. Vyd. 1. Praha : Sociologické nakladatelství, 2002. ISBN 80-86429-10-5.
  • Gavora, Peter. Úvod do pedagogického výzkumu. Brno : Paido, 2000. ISBN 80-85931-79-6.
  • CHRÁSKA, M. Metody pedagogického výzkumu. Olomouc: UP, 1998. ISBN 80-7067-798-8.
  • KERLINGER, F. N. Základy výzkumu chování. Praha: Academia, 1972.
  • Maršálová, M., Mikšík, O. a kol. Metodológia a metódy psychologického výskumu. Bratislava: SPN, 1990. ISBN 80-08-00019-8.
  • Masaryk, T. G. Jak pracovat?. Praha: J. Kanzelsberger, 1990. ISBN 80-90095-0-6.
  • MIOVSKY, M., ČERMÁK, I., ŘEHAN, V. Kvalitativní přístup a metody ve vědách o člověku III. Olomouc: Univerzita Palackého, 2004. ISBN 80-244-0909-7.
  • Silverman, David. Ako robiť kvalitatívny výskum : praktická príručka. Bratislava : Ikar, 2005. ISBN 80-551-0904-4.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester