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.
FSS - Mastering Content Analysis: Introduction to Atlas.ti
Dr. Kate Negacz
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.
There is a possibility to use your own laptop. Please note that the Windows and Mac versions of Atlas.ti differ slightly. The course is based on the Windows version of Atlas.ti but we can provide additional instructions for Mac users.
Study Characteristics
- Discipline: Social Sciences
- Language: English
- ECTS: 1
- Type of education: in class
- Academic skill: Methods
- Graduate School: Graduate School of Social Sciences
- Start date: 23.01.2023
- End date: 25.01.2023
- 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: 23-12-2022
- Roster/schedule info:
Session 1: 23 January 2023 13:00-17:00
Session 2: 25 January 2023 13:00-17:00
- Available to: VU-GSSS PhD candidates – free of charge. Any PhD candidate - if space allows. Your participation will be confirmed 6 weeks in advance. There is a fee PhD candidates who are not enrolled in the VU-Graduate School for Social Sciences (VU-GSSS). The fee for this course is: € 150 . You will receive an invoice shortly after the starting day of the course. The fee is waived for PhD candidates enrolled in: AISSR, ZU.
-
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.
There is a possibility to use your own laptop. Please note that the Windows and Mac versions of Atlas.ti differ slightly. The course is based on the Windows version of Atlas.ti but we can provide additional instructions for Mac users.
Study Characteristics
- Discipline: Social Sciences
- Language: English
- ECTS: 1
- Type of education: in class
- Academic skill: Methods
- Graduate School: Graduate School of Social Sciences
- Start date: 23.01.2023
- End date: 25.01.2023
- 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: 23-12-2022
- Roster/schedule info:
Session 1: 23 January 2023 13:00-17:00
Session 2: 25 January 2023 13:00-17:00
- Available to: VU-GSSS PhD candidates – free of charge. Any PhD candidate - if space allows. Your participation will be confirmed 6 weeks in advance. There is a fee PhD candidates who are not enrolled in the VU-Graduate School for Social Sciences (VU-GSSS). The fee for this course is: € 150 . You will receive an invoice shortly after the starting day of the course. The fee is waived for PhD candidates enrolled in: AISSR, ZU.