SOC560 Sociological Research

Faculty of Social Studies
Autumn 2019
Extent and Intensity
1/1/0. 12 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. Martin Kreidl, Ph.D. (lecturer)
Guaranteed by
prof. Martin Kreidl, Ph.D.
Department of Sociology - Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology - Faculty of Social Studies
Timetable
Thu 10:00–11:40 PC26
Prerequisites
! NOW ( SOC660 Sociological Research )&&! SOC660 Sociological Research && ! SOC662 Sociological Research && ! NOW ( SOC662 Sociological Research )&& SOUHLAS


Martin Kreidl's seminar group (fall term)
Knowledge of sociological research methods and methods of sociological data analysis corresponding to the undergraduate (BA) sociology program at the Faculty of social studies, Masaryk University and the State exam in sociology therein. Knowledge of STATA software is a plus. The following summarizes expected knowledge of statistics and students are requested to study these chapters before the semestr begins.
Course Enrolment Limitations
The course is only offered to the students of the study fields the course is directly associated with.

The capacity limit for the course is 10 student(s).
Current registration and enrolment status: enrolled: 0/10, only registered: 0/10
fields of study / plans the course is directly associated with
Course objectives


Goals - Martin Kreidl's seminar group
The course develops skills to use quantitative data analysis in the context of real reaserch - to prepare, run and interpret analyses resulting fromtheoretically driven research questions.
Syllabus


  • prof. M. Kreidl's seminar group
    1) Statistics and sociology
  • 2) Two-way cross-tabulations
  • 3) Special tables
  • 4) Association of variables
  • 5) chi-square test of association
  • 6) Crash-course in STATA
  • 7) Linear correlation and regression
  • 8) Multivariate regression
  • 9) Multivariate regression- special analytical procedures
  • 10) Missing data
  • 11) Logistic regression
Literature
    required literature
  • AGRESTI, Alan and Barbara FINLAY. Statistical methods for the social sciences. 4th ed. Upper Saddle River: Pearson Education, 2009. xiii, 609. ISBN 9780137131501. info
  • TREIMAN, Donald J. Quantitative data analysis : doing social research to test ideas. Edited by Deirdre D. Johnston - Thomas J. Grites. San Francisco: Jossey-Bass, 2008. xxxii, 443. ISBN 9780470380031. info
    recommended literature
  • FOX, John. Applied regression analysis and generalized linear models. Edited by John Fox. 2nd ed. Los Angeles: Sage, 2008. xxi, 665. ISBN 9780761930426. info
  • LONG, J. Scott and Jeremy FREESE. Regression models for categorical dependent variables using Stata. 2nd ed. Texas: Stata corporation, 2006. xxxii, 527. ISBN 9781597180115. info
Teaching methods


prof. M. Kreidl
The course takes the form of lectures, PC lab sessions, weekly assignments, presentations. The course furthermore includes readings, and written papers.
Assessment methods
Grading differs according to the specific lecturer. It typically includes individual and/or group projects, presentations, literature reviews and papers.
Language of instruction
Czech
Further comments (probably available only in Czech)
Study Materials
The course is taught annually.
Information on course enrolment limitations: Předmět si zapisují jen ti studenti, kteří jej opakují. Pro nové imatr. ročníky je určen SOC662
Listed among pre-requisites of other courses
The course is also listed under the following terms Autumn 2012, Spring 2013, Autumn 2013, Spring 2014, Autumn 2014, Spring 2015, Autumn 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019.
  • Enrolment Statistics (recent)
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