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FSS - Mastering Content Analysis: Introduction to Atlas.ti

FSS - Mastering Content Analysis

This course provides an introduction to the utility, applications and functions of the coding software Atlas.ti. It explores the use of Atlas.ti in relation to qualitative and mixed methodological approaches and presents key concepts associated with these processes. Finally, it allows the PhD students to apply the tool within the context of their own work.

Dr. Kate Negacz

Portrait of woman with medium-length red hair in black outerwear against white background

Cornelia Fast

Course Description

Objectives

By the end of this course, students will be able to:

  • Execute content analysis in the coding software Atlas.ti by applying standard functions and utilities to gain confidence in utilizing Atlas.ti in social scientific research
  • Understand and apply key methodological concepts associated with content analysis in the coding software Atlas.ti
  • Create their own projects and independently develop more-sophisticated analysis in the context of an individually selected research topic.

Content

In practice, the course will consist of two sessions that contain the following components:

  • Presentations introducing the key methodological concepts and practical functions of Atlas.ti. These will be presented together with real life examples of instances where Atlas.ti have been employed.
  •  In-class exercises and discussions.
  •  And opportunity for individual consultation on how Atlas.ti can be utilized for a specific research topic.

Each student is expected to:

  • Bring material that can be processed through Atlas.ti. This can for example be transcribed interview materials, video clips, policy documents, scientific journal articles, newspaper articles etc. Preferably, the material should be relevant to the student’s own research.
  • Do the readings associated to each session of the course, in order to facilitate a good understanding and contribution to in-class discussions.
  • Actively participate in both sessions taking place in the computer lab.

Study Characteristics

  • Discipline: Qualitative Research
  • Language: English
  • ECTS: 1
  • Type of education: in class
  • Academic skill: Methods
  • Graduate School: Graduate School of Social Sciences
  • Start date: 01.12.2021
  • End date: 03.12.2021
  • Min. number of students: 5
  • Max. number of students: 15
  • Admission criteria: Introductory course to qualitative research methods or practical experience in qualitative data analysis
  • Concluding assessment: yes
  • With certificate: yes
  • Registration deadline: 08-11-2021
  • Roster/schedule info:

Session 1: Wednesday, 8 December 2021 (9.00-12.00)

Session 2: Friday, 10 December (9.00-12.00)

  • Available to: Aimed at PhD students FSS. Also open to other VU PhD candidates and AISSR PhD candidates (You will be placed on a waiting list until the registration deadline). Fee for other that VU/AISSR PhD candidates: € 150
  • FSS - Mastering Content Analysis: Introduction to Atlas.ti

    Course Description

    Objectives

    By the end of this course, students will be able to:

    • Execute content analysis in the coding software Atlas.ti by applying standard functions and utilities to gain confidence in utilizing Atlas.ti in social scientific research
    • Understand and apply key methodological concepts associated with content analysis in the coding software Atlas.ti
    • Create their own projects and independently develop more-sophisticated analysis in the context of an individually selected research topic.

    Content

    In practice, the course will consist of two sessions that contain the following components:

    • Presentations introducing the key methodological concepts and practical functions of Atlas.ti. These will be presented together with real life examples of instances where Atlas.ti have been employed.
    •  In-class exercises and discussions.
    •  And opportunity for individual consultation on how Atlas.ti can be utilized for a specific research topic.

    Each student is expected to:

    • Bring material that can be processed through Atlas.ti. This can for example be transcribed interview materials, video clips, policy documents, scientific journal articles, newspaper articles etc. Preferably, the material should be relevant to the student’s own research.
    • Do the readings associated to each session of the course, in order to facilitate a good understanding and contribution to in-class discussions.
    • Actively participate in both sessions taking place in the computer lab.

    Study Characteristics

    • Discipline: Qualitative Research
    • Language: English
    • ECTS: 1
    • Type of education: in class
    • Academic skill: Methods
    • Graduate School: Graduate School of Social Sciences
    • Start date: 01.12.2021
    • End date: 03.12.2021
    • Min. number of students: 5
    • Max. number of students: 15
    • Admission criteria: Introductory course to qualitative research methods or practical experience in qualitative data analysis
    • Concluding assessment: yes
    • With certificate: yes
    • Registration deadline: 08-11-2021
    • Roster/schedule info:

    Session 1: Wednesday, 8 December 2021 (9.00-12.00)

    Session 2: Friday, 10 December (9.00-12.00)

    • Available to: Aimed at PhD students FSS. Also open to other VU PhD candidates and AISSR PhD candidates (You will be placed on a waiting list until the registration deadline). Fee for other that VU/AISSR PhD candidates: € 150

Graduate School of Social Sciences