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Qualitative Data Analysis Business & Managm. Res.

The course enables students to conduct in-depth, analytical, complexity-structuring qualitative empirical research, with a strong focus on the iterative process of data analysis. By going through several 'iterative cycles' during the course, students will learn to conduct the various parts of qualitative research that fit with the elements of a qualitative research publication (design, methods, literature, empirical findings, discussion/ analysis, conclusion).

Dr. Maura Soekijad

Dr. Maura Soekijad

Maura Soekijad is an associate professor at the KIN Research Group (KIN Center for Digital Innovation), School of Business and Economics, Vrije Universiteit Amsterdam. She wrote her doctoral dissertation on knowledge sharing professionals in co-opetitive multiparty networks and finalized a collaborative study on the use of mobile devices by health professionals (technology in practice). She is currently involved in NWO-funded research on digital collaborative innovation and collaborates on research about identity and power among health professionals. Maura is coordinator of the MSc programme Digital Business & Innovation.

Maura Soekijad

Course Description

The course enables students to conduct in-depth, analytical, complexity-structuring qualitative empirical research, with a strong focus on the iterative process of data analysis. By going through several 'iterative cycles' during the course, students will learn to conduct the various parts of qualitative research that fit with the elements of a qualitative research publication (design, methods, literature, empirical findings, discussion/ analysis, conclusion).

Students will do a research project during the course. They will develop and use the technique of 'memo writing' in order to fine-tune and further develop their project. They will also get acquainted with aspects of qualitative methods and techniques to do research in business administration, such as case studies, ethnography, grounded theory, interviews, observations, online data, and learn how to use computer assisted tools, process methods, and/or QCA.

This advanced course is based on seminal work in journals such as AMR, AMJ, OSci, JMS, SMJ, ASQ, MISQ and taught by faculty who will use their own practical experience with publishing qualitative research.

Study Characteristics

  • Study February 2022 – March 2022 (Period 4)
  • Credits: 5 ECTS
  • Tuition fee: €1250 (20% discount for early bird registration)
  • Registration deadline: 24-01-2022 (early bird registration: 03-01-2022)
  • Teaching methods: The course typically consists of 2 sessions per week, for 6 weeks, in the form of interactive tutorials (including a computer lab) and feedback sessions. There are many in-class exercises that students need to participate in, while in parallel, they work on their graded assignments. The main aim is to develop the students' hands-on experience with doing qualitative research.
  • Assessment: Students have to hand in 4 (individual) assignments for grades; the final grade is the weighted average of all partial grades and must be a 5.5 or higher to successfully pass the course. The assignments and exact evaluation criteria for grading are explained in the course manual and discussed during the sessions.
  • This course is only available for research master and PhD students. All participating students are expected to be proficient in English.
  • Course Description & Study Characteristics

    Course Description

    The course enables students to conduct in-depth, analytical, complexity-structuring qualitative empirical research, with a strong focus on the iterative process of data analysis. By going through several 'iterative cycles' during the course, students will learn to conduct the various parts of qualitative research that fit with the elements of a qualitative research publication (design, methods, literature, empirical findings, discussion/ analysis, conclusion).

    Students will do a research project during the course. They will develop and use the technique of 'memo writing' in order to fine-tune and further develop their project. They will also get acquainted with aspects of qualitative methods and techniques to do research in business administration, such as case studies, ethnography, grounded theory, interviews, observations, online data, and learn how to use computer assisted tools, process methods, and/or QCA.

    This advanced course is based on seminal work in journals such as AMR, AMJ, OSci, JMS, SMJ, ASQ, MISQ and taught by faculty who will use their own practical experience with publishing qualitative research.

    Study Characteristics

    • Study February 2022 – March 2022 (Period 4)
    • Credits: 5 ECTS
    • Tuition fee: €1250 (20% discount for early bird registration)
    • Registration deadline: 24-01-2022 (early bird registration: 03-01-2022)
    • Teaching methods: The course typically consists of 2 sessions per week, for 6 weeks, in the form of interactive tutorials (including a computer lab) and feedback sessions. There are many in-class exercises that students need to participate in, while in parallel, they work on their graded assignments. The main aim is to develop the students' hands-on experience with doing qualitative research.
    • Assessment: Students have to hand in 4 (individual) assignments for grades; the final grade is the weighted average of all partial grades and must be a 5.5 or higher to successfully pass the course. The assignments and exact evaluation criteria for grading are explained in the course manual and discussed during the sessions.
    • This course is only available for research master and PhD students. All participating students are expected to be proficient in English.

Would you like to register or want to know more?

Please register with the Apply Now button at the top of this page. For more info please contact the course coordinator dr. Maura Soekijad: