SOCn4003 Sociological Research: survey data analysis

Faculty of Social Studies
Autumn 2023
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
! SOCn5006 Survey data analysis &&! NOW( SOCn5006 Survey data analysis )
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. Treiman (2008), ch. 1-4; Agresti, Finlay (1997), ch. 1-8
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 15 student(s).
Current registration and enrolment status: enrolled: 8/15, only registered: 0/15
fields of study / plans the course is directly associated with
Course objectives
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.
Learning outcomes
students can apply selected statistical methods in the context of real sociological research students can assess the nature of the research question, can evaluate alternative available methods and choose the most appropriate one students can set data up for analysis students can programme STATA to conduct the analysis students can present and interpret the data
Syllabus
  • statistics and sociology
  • elaboration model
  • crosstabulations
  • special tables
  • association measures
  • dissimilarity index
  • crash course in STATA
  • linear regression
  • multivariate regression
  • special analytical tasks in OLS
  • missing data
  • logistic regression
Literature
    required literature
  • 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. Third edition. Los Angeles: Sage, 2016, xxiv, 791. ISBN 9781452205663. info
  • AGRESTI, Alan and Barbara FINLAY. Statistical methods for the social sciences. 4th ed. Upper Saddle River: Pearson Education, 2009, xiii, 609. ISBN 9780137131501. info
Teaching methods
The course takes the form of lectures, PC lab sessions, weekly assignments, presentations. The course furthermore includes readings, and written papers.
Assessment methods
10 homeworks (2 points each), final paper (20 points)
Language of instruction
Czech
Further comments (probably available only in Czech)
The course is taught annually.
The course is also listed under the following terms Autumn 2021.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/autumn2023/SOCn4003