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The Quality of Doing Qualitative Research: The What, How and Why

FSS - The Quality of Doing Qualitative Research

This course is an overview of qualitative methodology. The topics covered include data collection and analysis. The workshop also includes a component focused on writing and publishing about qualitative data in English language journals

Yarin Eski

Yarin Eski

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Course Description

Course objectives 

The first goal of this course is to introduce graduate students to the diversity of qualitative data collection methodologies. The second goal of this course is to provide students with a critical understanding of qualitative data analysis, and to provide them with individualized consultation for an on-going project. The third goal is to introduce participants to strategies for writing empirical research articles in English with qualitative data as evidence. 

Course content 

This course is an introduction to qualitative methods in the social sciences. The class will have five themes. The first will be a discussion on the relationship between method, methodology and epistemology and how the researcher’s choices on all three issues necessarily influence the research. This will be a theoretical conversation. The next two themes will be practicing very practical skills of data collection and data analysis. The class will both learn about data collection and do a series of exercises where they experience field work and interview techniques. There will be time required outside of class time for these homework assignments. We will then discuss the analysis of data conceptually. Following this, participants will practice coding with two exercises. The fourth theme will be more theoretical, focusing on how to conceptualize patterns in qualitative data, to go from coding to analytic summaries to developing an argument. Finally, the last theme will be about effective skills for writing and publishing qualitative data in English language journals. The class will meet on three days, with two-hour sessions in the morning and afternoon. The active learning assignments will begin during class time but may need time to be finished between classes. Each of the students will also receive individual consultation on their research projects.

Study Characteristics

  • Discipline: Social Science
  • Language: English 
  • ECTS: 3
  • Type of education: On campus only
  • Academic skill: Methods 
  • Graduate school: Graduate School of Social Sciences
  • Start date: 29 May 2024
  • End date: 6 June 2024
  • Schedule:

4 sessions, 10.00-16.00 (lunch break 12.00-13.00) 

Wednesday 29 May 

Thursday 30 May 

Wednesday 5 June 

Thursday 6 June (followed by refreshments)

  • Admission criteria: This course is open to all PhD candidates. If you are not enrolled in VU-GSSS, AISSR or Zeppelin University, the lecturer will assess whether there is a good fit. We will ask a course fee for those who are not enrolled as PhD candidate in VU, VU-GSSS, AISSR or Zeppelin University.
  • Min. number of students: 5
  • Max. number of students: 15
  • Assessment type: Active in class participation (attending and participating in all sessions is mandatory). Presenting your data and analytical problem. Short essay (between 1500 and 2500 words).
  • With certificate: yes
  • Registration deadline: 1 May 2024
  • Name of teacher: Dr. Yarin Eski y.eski@vu.nl
  • Course Description & Study Characteristics

    Course Description

    Course objectives 

    The first goal of this course is to introduce graduate students to the diversity of qualitative data collection methodologies. The second goal of this course is to provide students with a critical understanding of qualitative data analysis, and to provide them with individualized consultation for an on-going project. The third goal is to introduce participants to strategies for writing empirical research articles in English with qualitative data as evidence. 

    Course content 

    This course is an introduction to qualitative methods in the social sciences. The class will have five themes. The first will be a discussion on the relationship between method, methodology and epistemology and how the researcher’s choices on all three issues necessarily influence the research. This will be a theoretical conversation. The next two themes will be practicing very practical skills of data collection and data analysis. The class will both learn about data collection and do a series of exercises where they experience field work and interview techniques. There will be time required outside of class time for these homework assignments. We will then discuss the analysis of data conceptually. Following this, participants will practice coding with two exercises. The fourth theme will be more theoretical, focusing on how to conceptualize patterns in qualitative data, to go from coding to analytic summaries to developing an argument. Finally, the last theme will be about effective skills for writing and publishing qualitative data in English language journals. The class will meet on three days, with two-hour sessions in the morning and afternoon. The active learning assignments will begin during class time but may need time to be finished between classes. Each of the students will also receive individual consultation on their research projects.

    Study Characteristics

    • Discipline: Social Science
    • Language: English 
    • ECTS: 3
    • Type of education: On campus only
    • Academic skill: Methods 
    • Graduate school: Graduate School of Social Sciences
    • Start date: 29 May 2024
    • End date: 6 June 2024
    • Schedule:

    4 sessions, 10.00-16.00 (lunch break 12.00-13.00) 

    Wednesday 29 May 

    Thursday 30 May 

    Wednesday 5 June 

    Thursday 6 June (followed by refreshments)

    • Admission criteria: This course is open to all PhD candidates. If you are not enrolled in VU-GSSS, AISSR or Zeppelin University, the lecturer will assess whether there is a good fit. We will ask a course fee for those who are not enrolled as PhD candidate in VU, VU-GSSS, AISSR or Zeppelin University.
    • Min. number of students: 5
    • Max. number of students: 15
    • Assessment type: Active in class participation (attending and participating in all sessions is mandatory). Presenting your data and analytical problem. Short essay (between 1500 and 2500 words).
    • With certificate: yes
    • Registration deadline: 1 May 2024
    • Name of teacher: Dr. Yarin Eski y.eski@vu.nl

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