Syllabus

Title
1796 Advanced Quantitative Methods for Social and Economic Research
Instructors
Univ.Prof. Dr. Marcel Bilger
Contact details
Type
FS
Weekly hours
2
Language of instruction
Englisch
Registration
09/01/20 to 10/10/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 10/13/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 10/20/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 10/27/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 11/03/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 11/10/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 11/17/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 12/01/20 01:00 PM - 04:00 PM D3.0.237
Tuesday 12/15/20 01:00 PM - 04:00 PM D3.0.237
Procedure for the course when limited activity on campus

The teaching mode is in-person. However, depending on class size, students might have to attend class on a rotational basis based on their interests for specific quantitative methods. Students not physically attending a specific lecture will be provided with the presentation slides and will get the opportunity to ask questions remotely via online discussion forums.

If the sanitary conditions were to further deteriorate, the course would continue on distance mode as planned. To offer maximal flexibility, the lectures would be given asynchronously via voice-annotated powerpoint presentations supported by Q&As on online discussion forums. The student presentations would then be delivered via voice-annotated powerpoint presentations and the discussion of the presentations will take place on online discussion forums.

Contents

The course will start by discussing how to develop impactful quantitative research questions and by reviewing the main quantitative study designs used in academic research. The rest of the course will be dedicated to the study of the quantitative methods that are most relevant to the class. Each quantitative method will be introduced by a short lecture containing Stata examples. Strong emphasis will be given to the reading and discussion of peer-reviewed academic articles applying the method. In addition, the students will have to present either their own research or a relevant published article during the semester. Finally, the students will get to practice each quantitative method by performing Stata exercises. Upon request, the course can also cover sample size calculation, and research grant writing.

Learning outcomes

- Ability to develop impactful quantitative research questions.

- Intuitive understanding of selected quantitative methods.

- Capacity to select and apply quantitative methods to answer specific research questions.

- Hands-on experience using the software for statistical analysis Stata.

 

Attendance requirements

70% of contact hours.

Teaching/learning method(s)

- Short lectures giving an intuitive presentation to selected quantitative methods.

- Reading and discussion of state-of-the-art published research.

- Student presentation of own research and discussion thereof.

- Stata examples and exercises to develop specific skills.

Assessment

Assessments

  • Presentation of peer-reviewed research article (35 points)
  • Presentation of own quantitative research (35 points)
  • Discussion of research articles and student presentations (30 points)

Grades (point ranges)

  • 1: Excellent (90-100 points)
  • 2: Good (80-89 points)
  • 3: Satisfactory (65-79 points)
  • 4: Sufficient (50-64 points)
  • 5: Fail (0-49 points)
Availability of lecturer(s)

Please email lecturers for office hours.

Last edited: 2020-09-03



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