Proficient MAXQDA User (Self-Study)

Alle Materialien wurden von unserem zertifizierten MAXQDA-Trainer Andreas Müller auf der Grundlage seiner 8-jährigen Schulungserfahrung entwickelt und führen Sie Schritt für Schritt in die Software ein. Der Kurs wird in englischer Sprache angeboten und besteht aus den folgenden Modulen:

• 1. Foundations (Interface, Set up)
  In this module, you will get started with MAXQDA. You will explore what the software is commonly used for and get an overview of its core functionality to help you get started quickly. You will build a solid foundation by learning how to save your project file, create backups, and import documents in a structure that gives you the most analysis options.
• 2. Data Exploration
  This module is all about getting to know your data by heart. You will learn how to use many of MAXQDA’s essential features, such as color codes, segment comments, and the Questions-Themes-Theories (QTT) feature. These tools are especially helpful at the beginning of the research process but will also be useful throughout your entire project.
• 3. Coding Documents
  Learn how to code your documents, such as interviews, observations, and PDF files. You will explore how to create codes based on patterns you identify in your data and how to apply codes you already have in mind. You will also investigate different ways to (re)organize your code system and how the text search feature can help you code large amounts of data quickly.
• 4. Document Variables
  Explore how to integrate quantitative metadata as contextual information for your documents. You will explore how to create and collect information in the form of document variables that can store socio-demographic details such as the age, gender, or occupation of your research participants. You will learn how to prepare this data in advance, import it into MAXQDA, and use it effectively in your analysis.
• 5. Retrieving and Exporting Data
  This module is all about analyzing your textual data. You will learn how to retrieve data using the Retrieved Segments window and the Coded Segments overview. You will compare statements from your data for individual documents and groups of documents. Finally, you will create well-structured reports using the Smart Publisher and the Codebook feature to help you write up your results.
• 6. Visual Tools
  Discover how to use visualization tools to gain new insights and communicate your results in a compelling way. You will learn what visual tools can be used for and the implications of using them. You will also use visual tools to compare documents and groups of documents, explore relationships between codes, and organize your concepts and emerging theories in a visual interface.

• 7. The AI Assist
  In this module, the focus lies on using generative AI to support your qualitative research. You will learn about the AI Assist feature and how it can enhance your analysis by summarizing your findings and generating suggestions for new codes. You will also explore the potential and limitations of AI support and learn how to optimize its use.