About the Course

Qualitative research delves into understanding complex human experiences and phenomena. This course recognizes the need for specialized tools to manage and analyze the rich, non-numerical data collected in qualitative studies. Enter Atlas.ti software, a powerful platform designed to streamline this process.

This training bridges the gap between qualitative research methodology and practical application, equipping you with the skills to leverage Atlas.ti for effective data management, insightful analysis, and clear communication of your research findings.

What You Will Learn

By the end of this course the participants will be able to:

• Learn about the methodological principles behind ATLAS.ti
• Learn the role of ATLAS.ti in the research process.
• Use ATLAS.ti in data analysis following an approach emphasizing data integration, organization, and constant documentation of the process.

Course Duration

Classroom Based – 5 Days

Online – 7 Days

Course Outline

Introduction to Qualitative Research

• Understanding qualitative research philosophies and approaches
• Distinguishing qualitative from quantitative research methods
• Exploring common qualitative data collection techniques (e.g., interviews, focus groups, observations)
• Discussing ethical considerations in qualitative research

Introduction to ATLAS.ti

• Conceptual introduction
• Navigating the software interface and essential tools
• Computer-assisted qualitative data analysis.
• What does ATLAS.ti do?
• A work model for ATLAS.ti.

The components of an ATLAS.ti project

• What is the project?
• The objects of the project

Setting up the HU: Creating the project

• Saving the project
• Commenting the project

Adding/importing and loading the project’s documents

• Adding/importing source documents
• Accessing the documents through drop-down menu and side panel/Navigator
• Accessing documents in the Manager
• Commenting on documents

Organizing documents in groups/families

• Definitions and applications
• Creating groups/families

Data Segmentation

• Definitions and applications
• Selecting segments in the documents and creating free quotations
• Renaming quotations
• Commenting quotations

Writing Reflections in the Form of Memos

• Definitions and applications
• The Research Diary memo
• Using the Research Diary memo to describe the data segmentation process
• Incorporating quotations into the memo
• Linking memos to quotations

Coding

• Definitions and applications
• Two approaches: inductive and deductive
• Creating codes inductively: In vivo coding and Open coding
• Creating codes deductively: Free codes
• Coding using different strategies

Data Exploration, Analysis and Visualization

• Semantic linkages between codes
• Definitions and applications
• Linking the codes
• Representing the linkage graphically
• Word frequency counts: The Word Cruncher
• Co-occurrences
• The Query Tool
• The Code-Document Table

Survey importation

Teamwork (ATLAS.ti 7 Windows)

Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in their respective fields of practice. The course is taught through a mix of practical activities, presentations, group work, and case studies.

Training notes and additional reference materials are provided to the participants. 

Certification

Upon successful completion of this course, participants will be issued a certificate.