Universität Wien
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150009 SE Methods in Social Science Research: Quantitative Methods in Research on Japan (2019S)

7.00 ECTS (2.00 SWS), SPL 15 - Ostasienwissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 07.03. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 14.03. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 21.03. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 28.03. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 04.04. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 11.04. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 02.05. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 09.05. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 16.05. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 23.05. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 06.06. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 13.06. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33
  • Thursday 27.06. 14:00 - 15:30 Seminarraum 6 UniCampus Hof 7 Eingang 7.1 OG01 2H-O1-33

Information

Aims, contents and method of the course

This course offers an introduction into the methodology of quantitative research, with a focus on multivariate and descriptive statistics.

Participants will get the opportunity to explore the power of quantitative research methods using datasets from various sources. This course also serves as a practical introduction into one widely used data analysis software tool, SPSS.

SPSS can be acquired in the university's u:soft shop for ca. 25 € or used for free in the university's computer rooms.

RStudio is an open-source project and as such available free of charge from https://www.rstudio.com/products/rstudio/download/. Please also download R from the link at the bottom of the RStudio download page.

A free copy of MS Excel is available to students as part of the Office for Students package offered by the ZID.

Assessment and permitted materials

Regular attendance of the course and timely delivery of exercises are mandatory for a passing grade.

Assessment is based on final report, mid-term test, and active contribution in class discussions.

Upon enrollment for this course, participants agree to perform all mandatory coursework by themselves and to use formally correct citations to denote the resources that were used for completion. Failure to do so will be considered plagiarism.

Minimum requirements and assessment criteria

• Attendance and contributions to in-class discussions: 10%
• Homework assignments throughout the course: 30%
• Intermediate exam: 20%
• Final report: 40%

Examination topics

Students will learn:
• Fundamentals of quantitative research
• Searching for, obtaining and generating datasets
• Basic data processing in SPSS
• Interpreting and producing descriptive statistics
• Interpreting and producing basic test statistics

Reading list

Wird in der LV bekannt gegeben. Die UB verfügt über verschiedene Einführungen zum Arbeiten mit SPSS, z.B.
Pallant, Julie (2013).
SPSS survival manual. Maidenhead: McGraw-Hill Education.

Association in the course directory

altes Curriculum MA: M4.2, M9
neues Curriculum MA: M2a, M3a, M5

Last modified: Th 14.11.2024 00:13