SOC267 Introduction to Stata

Faculty of Social Studies
Spring 2018
Extent and Intensity
1/1/0. 9 credit(s). Type of Completion: zk (examination).
Teacher(s)
prof. PhDr. Tomáš Katrňák, Ph.D. (lecturer)
Mgr. Ing. Tomáš Doseděl, Ph.D. (lecturer)
Guaranteed by
prof. PhDr. Ladislav Rabušic, CSc.
Department of Sociology – Faculty of Social Studies
Contact Person: Ing. Soňa Enenkelová
Supplier department: Department of Sociology – Faculty of Social Studies
Timetable
Wed 21. 2. 9:45–11:15 PC26, Wed 28. 2. 9:45–11:15 PC26, Wed 7. 3. 9:45–11:15 PC26, Wed 14. 3. 9:45–11:15 PC26, Wed 21. 3. 9:45–11:15 PC26, Wed 28. 3. 9:45–11:15 PC26, Wed 4. 4. 9:45–11:15 PC26, Wed 11. 4. 9:45–11:15 PC26, Wed 18. 4. 9:45–11:15 PC26, Wed 25. 4. 9:45–11:15 PC26, Wed 2. 5. 9:45–11:15 PC26, Wed 9. 5. 15:15–16:45 PC26, Wed 16. 5. 9:45–11:15 PC26
Prerequisites
Basic knowledge of statistical analysis.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 18 student(s).
Current registration and enrolment status: enrolled: 0/18, only registered: 0/18, only registered with preference (fields directly associated with the programme): 0/18
fields of study / plans the course is directly associated with
there are 23 fields of study the course is directly associated with, display
Course objectives
The course is intended as an introductory course to statistical software Stata. During the semestr all basic methods of data analysis will be briefly revised, but the main goal is to teach students how to apply the above mentioned methods in Stata.
Syllabus
  • 1, Basic information about the course 2, Introduction to Stata, menus, windows, files 3, Descriptive Analysis: Means, Frequencies, Tables 4, Descriptive Analysis: Crosstables 5, Descriptive Analysis: Conditions, Groups 6, Reading Week 7, Variable Transformation 8, Categorized Data 9, Multivariate Analysis: correlations 10, Multivariate Analysis: linear regression 11, Multivariate Analysis: linear regression with interactions 12, Multivariate Analysis: logistic regressions 13, Paper Presentations
Literature
    recommended literature
  • PEVALIN, David J. and Karen ROBSON. The Stata survival manual. Maidenhead: Open University Press, 2009, xiii, 373. ISBN 9780335223886. info
Teaching methods
lecture, seminar, final paper
Assessment methods
The final mark consist of the following: (1) attendance to the lessons (2) three individual homeworks (3) final paper and its public presentation
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
  • Enrolment Statistics (recent)
  • Permalink: https://is.muni.cz/course/fss/spring2018/SOC267