ENSn4446 Quantitative research in environmentalism

Faculty of Social Studies
Autumn 2020
Extent and Intensity
2/0/0. 8 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. PhDr. Jan Činčera, Ph.D. (lecturer)
Mgr. Petr Fučík, PhD. (lecturer)
Guaranteed by
doc. PhDr. Jan Činčera, Ph.D.
Department of Environmental Studies – Faculty of Social Studies
Contact Person: Mgr. Kristína Markechová
Supplier department: Department of Environmental Studies – Faculty of Social Studies
Timetable
Wed 7. 10. 8:00–9:40 P22, Wed 14. 10. 8:00–9:40 P22, Wed 21. 10. 8:00–9:40 P22, Wed 4. 11. 8:00–9:40 P22, Wed 11. 11. 8:00–9:40 P22, Thu 19. 11. 16:00–17:40 PC26, Thu 26. 11. 16:00–17:40 PC26, Thu 3. 12. 16:00–17:40 PC26, Thu 10. 12. 16:00–17:40 PC26, Thu 17. 12. 16:00–17:40 PC26, Thu 7. 1. 16:00–17:40 PC26, Thu 14. 1. 16:00–17:40 PC26
Prerequisites (in Czech)
! HEN446 Quantitative research &&!NOW( HEN446 Quantitative research )&&(! ENSn4447 Qualitative research && !NOW( ENSn4447 Qualitative research ))
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
The course is conceived to summarize and deepen the methodological skills, accumulated during the study. Its primary aim is to provide the students with competencies to design their own empirical study in the form of quantitative survey of secondary analysis. The seminar form of lectures focuses on the elaboration of individual diploma thesis or individual project. The additional goal is to provide students with the ability to critically review and interpret the results of quantitative surveys. There are three teaching blocks: epistemological background, basic stages of the quantitative research, logic of quantitative statistical analysis.
Learning outcomes
Student will be able to: - to design the quantitative research - to analyze the quantitative data by the means of the basic statistical methods - to interpret the results of quantitative publications and to critically review and interpret them.
Syllabus
  • Lesson 1: Empirical research – epistemological background Lesson 2: Components of scientific practice – theories, models, concepts, hypotheses Lesson 3: Conceptualization and operationalization Lesson 4: Forms of representativeness Lesson 5: Research design – forms of quantitative approaches Lesson 6: Entry into the analysis: refreshing the basic principles Lesson 7: Descriptive analysis through the numbers and graphs Lesson 8: Hypothesis testing: substantive hypothesis and statistical inference Lesson 9: Analysis of statistical relationships – basic techniques Lesson 10: Analysis of statistical relationships – the principles of advanced techniques Lesson 11: Final presentations, conclusion, evaluation
Literature
    required literature
  • De Vaus, D. A. (2002). Surveys in social research (5. ed). Crows Nest, NSW: Allen & Unwin.
  • MAREŠ, Petr, Ladislav RABUŠIC and Petr SOUKUP. Analýza sociálněvědních dat (nejen) v SPSS (Data analysis in social sciences (using SPSS)). 1. vyd. Brno: Masarykova univerzita, 2015, 508 pp. ISBN 978-80-210-6362-4. Projekty Nakladatelství Munipress info
  • BABBIE, Earl R. The practice of social research. 12th ed. Belmont, CA: Wadsworth, 2010, xxiv, 530. ISBN 9780495598428. info
  • HUGHES, J. A. Theory and methods in sociology : an introduction to sociological thinking and practice. Houndmill, Basingstoke, Hampshire ;: Palgrave Macmillan, 2007, xii, 364. ISBN 9780333772867. info
  • TRIGG, Roger. Understanding social science : a philosophical introduction to the social sciences. 2nd ed. Oxford: Blackwell Publishers, 2001, ix, 270. ISBN 0631218718. info
  • KERLINGER, Fred N. Základy výzkumu chování : pedagogický a psychologický výzkum. Vyd. 1. Praha: Academia, 1972, 705 s. info
    recommended literature
  • Rumsey, D. J. (2007). Intermediate statistics for dummies. Indianapolis, IN: Wiley Pub., Inc.
  • Griffith, A. (2010). SPSS for dummies (2nd ed). Hoboken, N.J. ; Chichester: John Wiley.
  • Elster, J. (1989). Nuts and bolts for the social sciences. Cambridge ; New York: Cambridge University Press.
  • HENDL, Jan. Přehled statistických metod : analýza a metaanalýza dat. Páté, rozšířené vydán. Praha: Portál, 2015, 734 stran. ISBN 9788026209812. info
  • FIELD, Andy P. Discovering statistics using SPSS : (and sex, drugs and rock 'n' roll). 3rd ed. Los Angeles: Sage, 2009, xxxiii, 82. ISBN 9781847879073. info
  • FAY, Brian. Současná filosofie sociálních věd : multikulturní přístup. Translated by Jana Ogrocká. Vyd. 1. Praha: Sociologické nakladatelství, 2002, 324 s. ISBN 8086429105. info
  • DISMAN, Miroslav. Jak se vyrábí sociologická znalost : příručka pro uživatele. 3. vyd. Praha: Karolinum, 2000, 374 s. ISBN 9788024601397. info
Teaching methods
- Lectures - Seminars - Assignments - Final presentation of individual project - Discussion - Written proofs
Assessment methods
Attendance – one lesson is awarded by two pts (total 20 pts) 5 assignments – work on individual projects 5x4pts (total 20 pts) Closing seminar presentation of individual project – 10 pts Two seminar tests 2x10 pts Final exam – written test 30 pts
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on course enrolment limitations: Student/ka si smí zaregistrovat/zapsat a absolvovat pouze jeden z předmětů ENSn4446 Kvantitativní výzkum a ENSn4447 Kvalitativní výzkum
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2021, Autumn 2022, Autumn 2023, Autumn 2024.
  • Enrolment Statistics (Autumn 2020, recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2020/ENSn4446