Syllabus

Title
1107 Quantitative and Qualitative Methods II
Instructors
Assoz.Prof PD Stefanie Peer, Ph.D., Mag.Dr. Karin Sardadvar
Type
PI
Weekly hours
4
Language of instruction
Englisch
Registration
09/01/23 to 09/30/23
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Tuesday 10/03/23 10:00 AM - 12:00 PM TC.5.28
Tuesday 10/10/23 10:00 AM - 12:00 PM TC.5.28
Friday 10/13/23 09:30 AM - 11:30 AM D3.0.237
Tuesday 10/17/23 10:00 AM - 12:00 PM TC.5.28
Friday 10/20/23 09:30 AM - 11:30 AM TC.4.28
Tuesday 10/24/23 10:00 AM - 12:00 PM TC.4.28
Tuesday 10/31/23 10:00 AM - 12:00 PM TC.5.28
Friday 11/03/23 09:30 AM - 11:30 AM TC.4.28
Tuesday 11/07/23 10:00 AM - 12:00 PM TC.4.28
Friday 11/10/23 09:30 AM - 11:30 AM TC.4.28
Tuesday 11/14/23 08:30 AM - 10:30 AM TC.5.28
Friday 11/17/23 09:30 AM - 11:30 AM TC.4.28
Tuesday 11/21/23 10:00 AM - 12:00 PM TC.5.28
Friday 11/24/23 09:30 AM - 11:30 AM TC.4.28
Tuesday 11/28/23 10:00 AM - 12:00 PM TC.5.28
Friday 12/01/23 09:30 AM - 11:30 AM TC.4.28
Tuesday 12/05/23 10:00 AM - 12:00 PM TC.5.28
Tuesday 12/12/23 10:00 AM - 12:00 PM TC.4.28
Tuesday 12/19/23 10:00 AM - 12:00 PM Online-Einheit
Tuesday 01/09/24 10:00 AM - 12:00 PM TC.5.28
Friday 01/12/24 09:30 AM - 11:30 AM TC.4.28
Tuesday 01/16/24 10:00 AM - 12:00 PM TC.5.28
Friday 01/19/24 09:30 AM - 11:30 AM TC.5.28
Tuesday 01/23/24 10:00 AM - 12:00 PM TC.4.28
Friday 01/26/24 09:30 AM - 11:30 AM TC.4.28
Contents

This course provides students with in-depth knowledge about planning, conducting and reporting an empirical mixed methods research project. In groups, students conduct a research project combining quantitative and qualitative methods. The focus is on the practical application of the methods introduced in the summer semester within the framework of a mixed-methods design. Further, in-depth methodological, theoretical and scientific-theoretical questions are discussed. Thematically, the content depends on the interests of the students.

Learning outcomes

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

  • Develop an appropriate mixed methods, quantitative and qualitative research question
  • Design a mixed methods research project
  • Select the methodology and the methods based on their research purpose.
  • Combine qualitative and quantitative methods fruitfully
  • Coordinate phases of a research process
  • Write a report on a research project
  • Distinguish between different forms of presentation of scientific results
  • Link the results of scientific projects to the state of the art
Attendance requirements

Students are required to attend at least 80% of the course sessions. If you miss a class, please inform us in advance!

Teaching/learning method(s)

Lectures, discussions, student presentations, coaching, feedback

Assessment

Students are expected to:

1. Participate in all courses (80% attendance)

2. Present quantitative papers 

3. Read and discuss literature on qualitative methods

4. Complete a mixed methods group project

 

Grading is based on your contributions:

  1. In-class contribution    10 points (individual)
  2. Exposé   10 points (group)
  3. Implementation of the mixed methods research project and frequent reports on progress  30 points (group)
  4. Quantitative paper presentations     5 points (group)
  5. Qualitative methods discussions       5 points (group)
  6. Interim and final presentations  10 points (group)
  7. Final report    30 points (group)

 

Overall, 100 points can be reached. Minimum points for each grade are as follows:
 

      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.

Recommended previous knowledge and skills

This course builds on the introductory course to quantitative and qualitative methods in the summer term.

Availability of lecturer(s)

karin.sardadvar@wu.ac.at

stefanie.peer@wu.ac.at

Other

SEEP courses do not allow creation of assignments, exam answers or other assessed work using generative AI (e.g. ChatGPT).  All such work is expected to be the original work by the student concerned and is assessed as such.  Work copied from a generative AI source is equivalent to plagiarism and will be treated as such.

Unit details
Unit Date Contents
1 3.10.

Intro, how to design a research question and a mixed methods project

2 10.10.

Further brainstorming, form teams

3 13.10.

Discussion of reasonable methodological approaches - qual

4 17.10.

Discussion of reasonable methodological approaches - quant

5 20.10.

Discussion of exposes

6 24.10.

Contents - Qual: data collection: designing an interview guide; artefakt analysis

7 31.10.

Contents - Qual: paper discussion - participatory research

8 3.11.

Contents - Quant: data collection using surveys

9 7.11.

Contents - Quant: data collection using experiments (stated, revealed pref.; lab)

10 10.11.

Coaching session: update from students, questions

11 14.11.

Contents - Qual: paper discussion - generalizing from qualitative data

12 17.11.

Contents - Quant: advanced models (depending on what is required)

13 21.11.

Contents - Qual: advanced data analysis (depends on what is required)

14 24.11.

Contents - Quant: paper presentations

15 28.11.

Interim presentations

16 1.12.

Interim presentations

17 5.12.

Contents - Qual: presentation and visualization of qualitative findings

18 12.12

Contents - Quant: visualization of quantitative information

19 19.12.

Coaching session

20 9.1.

Coaching session: qualitative - final questions

21 12.1.

Coaching session: quantitative - final questions

22 23.1.

Final presentations

23 26.1.

Final presentations

Last edited: 2023-09-30



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