Course Outline

Module 1: Introduction to ATLAS.ti and Project Setup

• Conceptual introduction to ATLAS.ti
• Overview of ATLAS.ti’s capabilities and functionalities
• Setting up a new project in ATLAS.ti (Creating, saving, and commenting)
• Adding and importing documents to the project
• Case Study: Create a new project in ATLAS.ti, import qualitative data, and set up the project structure.

Module 2: Document Management and Organization

• Understanding project components and objects
• Accessing documents through the drop-down menu, side panel/Navigator, and Manager
• Organizing documents into groups/families
• Commenting on and managing documents
• Case Study: Organize a set of documents into groups and families and manage them effectively within the project.

Module 3: Data Segmentation and Quotation Management

• Defining and applying data segmentation
• Selecting segments and creating free quotations
• Renaming and commenting on quotations
• Writing and linking memos, including using the Research Diary memo
• Case Study: Segment a set of documents, create and manage quotations, and write a reflective memo linking quotations.

Module 4: Coding Strategies and Data Analysis

• Definitions and applications of coding
• Inductive and deductive coding approaches (In vivo coding, Open coding, Free codes)
• Applying coding strategies and managing codes
• Exploring and analyzing data through coding
• Case Study: Apply inductive and deductive coding to a dataset, analyze patterns, and manage codes.

Module 5: Data Exploration, Visualization, and Reporting

• Exploring semantic linkages between codes
• Using ATLAS.ti’s visualization tools (e.g., linkage graphs, Word Cruncher)
• Analyzing co-occurrences and using the Query Tool
• Generating and interpreting the Code-Document Table
• Case Study: Analyze and visualize coded data using ATLAS.ti tools to identify key insights and patterns.