Syllabus

Title
4577 Quantitative and Qualitative Methods I
Instructors
PD Mag.Dr. Barbara Haas, Assoz.Prof PD Dr. Astrid Pennerstorfer
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
02/13/23 to 02/24/23
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Wednesday 03/01/23 02:00 PM - 04:00 PM D4.0.039
Monday 03/06/23 02:00 PM - 04:00 PM LC.2.064 PC Raum
Wednesday 03/08/23 02:00 PM - 04:00 PM D4.0.039
Monday 03/13/23 02:00 PM - 04:00 PM LC.2.064 PC Raum
Wednesday 03/15/23 02:00 PM - 04:00 PM D4.0.039
Monday 03/20/23 02:00 PM - 04:00 PM LC.2.064 PC Raum
Wednesday 03/22/23 02:00 PM - 04:00 PM D4.0.039
Monday 03/27/23 02:00 PM - 04:00 PM D4.0.039
Wednesday 03/29/23 02:00 PM - 04:00 PM D4.0.039
Monday 04/17/23 02:00 PM - 04:00 PM LC.2.064 PC Raum
Wednesday 04/19/23 02:00 PM - 04:00 PM D4.0.039
Monday 04/24/23 02:00 PM - 04:00 PM D4.0.039
Wednesday 04/26/23 02:00 PM - 04:00 PM D4.0.039
Wednesday 05/03/23 02:00 PM - 04:00 PM D4.0.039
Monday 05/08/23 02:00 PM - 04:00 PM TC.-1.61
Wednesday 05/10/23 02:00 PM - 05:00 PM D4.0.039
Monday 05/15/23 02:00 PM - 04:00 PM LC.2.064 PC Raum
Wednesday 05/17/23 02:00 PM - 04:00 PM D4.0.039
Monday 05/22/23 02:00 PM - 05:00 PM TC.-1.61
Wednesday 05/24/23 02:00 PM - 03:30 PM D4.0.039
Wednesday 05/31/23 02:00 PM - 04:00 PM D4.0.039
Monday 06/05/23 02:00 PM - 03:30 PM D4.0.039
Contents

This general introduction to qualitative and quantitative research methods will provide information about 1) methodological underpinnings of research methods 2) different forms of methods 3) use of statistical software 4) application to test data and finally about 5) the combination of quantitative and qualitative approaches. Moreover, we will discuss the quality assessment and the possibilities of how to combine different approaches in a fruitful manner.

Topics of the quantitative part: working with STATA, statistical inference, OLS regression, logistic regression.

Topics of the qualitative part: systematic literature review, qualitative (expert) interviews, focus groups and data analysis (working with MAXQDA). 

This semester the focus is on building foundational knowledge for a further applied deepening in the winter term.

Learning outcomes

After successful completion of this introduction, students will be able to:

- understand different research methods and strategies

- design an interview guideline

- analyse data

- apply statistical methods

- use of STATA

- understand quality criteria in methods

- write a critical reflection on quantitative and qualitative methods

Attendance requirements

80% attendance of the class is required! If you miss a class, please inform us in advance!

 

Notice of Special Regulation for Covid-19:  

      If a student is required to quarantine, or is otherwise prevented from attending class, due to a certified case of Covid-19 infection or a federally mandated Covid-19 lockdown, and this affects either attendance or the completion of an exam or other required course assignment, the course instructor is empowered to provide an alternative means for said student to meet the attendance/assessment requirement as necessary. The same means will be required of any student in the same situation in the same course.

 

Teaching/learning method(s)

Presentations, discussions, hands-on exercises, application of statistical methods using Stata

Assessment

Marking is based on your contributions in the quantitative and qualitative part:

  • In class contributions, oral presentations:  20%
  • Individual home assignments 40%
  • open book tests: 40%

Minimum points for each grade are as follows:

minimum points
5    -
4    61
3    71
2    81
1    91

 

Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Availability of lecturer(s)

barbara.haas@wu.ac.at

astrid.pennerstorfer@wu.ac.at

Last edited: 2023-02-02



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