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FSS - Collecting, Analyzing and Writing with Qualitative Data

FSS Collecting, Analyzing, Writing w. Qualit. Data

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.

Prof. Dr. Barbara J. Risman (University of Illinois, Chicago)

Prof. Dr. Barbara J. Risman (University of Illinois, Chicago)

View the profile of Barbara Risman
Portrait of dr. Barbara J. Risman

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 influences 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: Qualitative Methods
  • Type of education: In class
  • Academic skill: Research
  • ECTS: 3
  • Graduate School: Graduate School of Social Sciences
  • Start date: 31.05.2022
  • End date: 09.06.2022
  • Minimum number of students: 5
  • Maximum number of students: 12
  • Assessment: yes
  • Assessment criteria: The assessment involves an essay after the class ends.
  • With certificate: yes
  • Roster/schedule info:

Session 1:  Monday, 31 May 2022 (9.00-12.00 and 13.00-15.00)

Session 2:  Thursday, 2 June 2022 (9.00-12.00 and 13.00-15.00)

Session 3:  Monday, 7 June 2022 (9.00-12.00 and 13.00-15.00) 

Session 4:  Thursday, 9 June 2022 (9.00-12.00 and 13.00-15.00)

  • Registration deadline: 19.04.2022
  • Available to: PhD students VU and Research Master students of the FSS Research master Societal Resilience.Fee for non VU-GSSS and AISSR PhD candidates: € 450,- (You will be placed on a waiting list until the registration deadline)
  • 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 influences 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: Qualitative Methods
    • Type of education: In class
    • Academic skill: Research
    • ECTS: 3
    • Graduate School: Graduate School of Social Sciences
    • Start date: 31.05.2022
    • End date: 09.06.2022
    • Minimum number of students: 5
    • Maximum number of students: 12
    • Assessment: yes
    • Assessment criteria: The assessment involves an essay after the class ends.
    • With certificate: yes
    • Roster/schedule info:

    Session 1:  Monday, 31 May 2022 (9.00-12.00 and 13.00-15.00)

    Session 2:  Thursday, 2 June 2022 (9.00-12.00 and 13.00-15.00)

    Session 3:  Monday, 7 June 2022 (9.00-12.00 and 13.00-15.00) 

    Session 4:  Thursday, 9 June 2022 (9.00-12.00 and 13.00-15.00)

    • Registration deadline: 19.04.2022
    • Available to: PhD students VU and Research Master students of the FSS Research master Societal Resilience.Fee for non VU-GSSS and AISSR PhD candidates: € 450,- (You will be placed on a waiting list until the registration deadline)

Graduate School of Social Sciences