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MAXQDA is a computer-assisted qualitative data analysis (CAQDAS) application used for qualitative and mixed methods research. Developed and distributed by VERBI Software in Berlin, Germany, it runs on Windows and macOS and supports projects containing textual materials, PDFs, images, audio and video (including transcripts), and structured survey data.
The analysis highlights Standards and Products as prominent areas in the source structure around MAXQDA.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around MAXQDA shows recurring relationship patterns in the source. For example, MAXQDA → Add, Android, Android App, App, DOS, Mac OS, MAX, MAXApp, MAXDictio, MAXMaps, MAXQDA Analytics Pro2017, MAXQDA Base, Universal, VERBI, Windows Another extracted example is MAXQDA → ChartsQTT WorkspaceTeamCloudUser, Emoticons, ExcelImport, Frequency Tables, Group ComparisonAnalyse, Import, MAXQDA Web CollectorAnalyse, SPSS, SurveyMonkeyImport, SymbolsExport, Tools. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
data qualitative analysis software windows mixed methods tools projects codes macos also research verbi audio video survey memos variables supports
TTTA extracted 54 structured relationships around MAXQDA. Examples in this analysis include MAXQDA → Available in → Multilingual (15) and MAXQDA → Developer → VERBI GmbH. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MAXQDA | Available in | Multilingual (15) | 1.00 | infobox |
| MAXQDA | Developer | VERBI GmbH | 1.00 | infobox |
| MAXQDA | License | Proprietary software | 1.00 | infobox |
| MAXQDA | Operating system | Microsoft Windows, Mac OS | 1.00 | infobox |
| MAXQDA | Release | 1995 | 1.00 | infobox |
| MAXQDA | Stable release | 26.3 (Win and Mac) / 17 June 2026; 2 months ago (2026-06-17) | 1.00 | infobox |
| MAXQDA | Type | Qualitative Data Analysis Qualitative research | 1.00 | infobox |
| MAXQDA | Website | www.maxqda.com | 1.00 | infobox |
| MAXQDA | is a | computer-assisted qualitative data analysis | 0.90 | text |
| codes | instance of | The Stats module provides tools to analyze data from MAXQDA projects - | 0.80 | text |
| cases | instance of | The Stats module provides tools to analyze data from MAXQDA projects - | 0.80 | text |
| and variables - using descriptive statistics | instance of | The Stats module provides tools to analyze data from MAXQDA projects - | 0.80 | text |
The concept neighborhoods around MAXQDA bring nearby vocabulary together. In this analysis, examples include Analysis, Data and Qualitative. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MAXQDA, one of the stronger structural bridges in this analysis connects MAXQDA with Literature. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around MAXQDA to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MAXQDA · EN edition · Analysis: TopicsToTalkAbout