What is MAXQDA?

Explore a diverse array of data types such as text, images, audio clips, videos, websites, tweets, focus group conversations, and survey data. MAXQDA is notable for being both a robust and intuitive tool, distinguishing itself as the sole leading qualitative data analysis software that delivers a completely uniform experience across both Windows and Mac operating systems. No matter the method you choose for conducting interviews in the field, MAXQDA adeptly handles all file types. You can easily bring in handwritten notes, audio and video recordings, and transcripts generated by various transcription services, along with Word or PDF documents that contain annotations and highlights. Organize your files effectively by assigning distinct colors and categorizing them according to factors like location, time, topic, or type. The built-in MAXQDA transcription feature simplifies the process of transcribing audio or video files. As you transcribe, you can promptly begin coding your data, adding memos, and paraphrasing thoughts, ensuring that your insights are documented as they come to mind. This level of adaptability positions MAXQDA as an essential tool for researchers aiming to enhance the efficiency of their data analysis workflow. Researchers will find that its comprehensive features not only save time but also facilitate a more organized approach to qualitative research.

Pricing

Price Starts At:
$45 per user per month

Integrations

No integrations listed.
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Screenshots and Video

Play Video MAXQDA Screenshot 1 MAXQDA Screenshot 2

Company Facts

Company Name:
VERBI Software
Date Founded:
1989
Company Location:
Germany
Company Website:
www.maxqda.com

Product Details

Deployment
Windows
Mac
Training Options
Documentation Hub
Webinars
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English

MAXQDA Categories and Features

Qualitative Data Analysis Software

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

More MAXQDA Categories

MAXQDA Customer Reviews

Write a Review
  • Reviewer Name: DANIEL P.
    Position: Manager TI
    Has used product for: Free Trial
    Uses the product: Yearly
    Org Size (# of Employees): 1 - 25
    Feature Set
    Layout
    Ease Of Use
    Cost
    Customer Service
    Would you Recommend to Others?
    1 2 3 4 5 6 7 8 9 10

    Statics Software

    Date: Nov 07 2024
    Summary

    Interface and Usability
    Ease of Use: A well-designed interface makes the software easy to navigate. This includes clear menus, logical workflows, and accessible options for importing, processing, and analyzing data.
    Graphical Interface vs. Command Line: GUI-based software like SPSS, Stata, and Excel allows users to perform statistical analysis without needing to write code, making it more accessible for people who prefer visual interaction. On the other hand, software like R, Python, or MATLAB relies heavily on code, offering more flexibility and control but at the cost of requiring programming knowledge.
    Customization: Advanced users appreciate the ability to customize analyses through scripts or functions. However, some software platforms can be restrictive in this regard, limiting users to pre-built analysis templates or models.

    Positive

    A good statistics software should have an intuitive and easy-to-navigate interface, allowing both beginners and experts to use it efficiently. Clear menus, well-organized toolbars, and comprehensive help options are essential.
    Comprehensive Statistical Tools:

    It should offer a wide range of statistical functions, from basic descriptive statistics (mean, median, standard deviation) to more complex inferential statistics (hypothesis testing, regression analysis, ANOVA, etc.).
    Specialized methods such as time-series analysis, multivariate analysis, and Bayesian statistics are also valuable.
    Data Import and Export Capabilities:

    The software should support importing data from various formats (e.g., Excel, CSV, SPSS, SAS, and databases) and exporting results into formats like PDF, Excel, or image files for easy reporting.
    Data Visualization:

    Strong data visualization features, such as customizable charts, histograms, scatter plots, and heatmaps, help users better understand and present their data.
    The ability to create high-quality, publication-ready visuals is a plus.
    Advanced Analytical Features:

    Advanced tools like machine learning algorithms, multivariate analysis, and time-series forecasting can greatly enhance the software's capabilities for complex data analysis.

    Negative

    Limited Support for Unstructured Data
    Problem: Traditional statistical software may struggle to handle unstructured data, such as free text, images, or sensor data.
    Impact: This limits the application of the software in areas like sentiment analysis, natural language processing (NLP), or image analysis.

    Read More...
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