Weft QDA

Weft QDA: Open-Source Qualitative Data Analysis Software

Free software for qualitative data analysis, allowing researchers to import diverse data types and visualize connections, with features like coding, annotations, and report generation.

What is Weft QDA?

Weft QDA is a free and open-source qualitative data analysis software designed for researchers working with textual, multimedia, and multi-format data. It enables systematic analysis of qualitative data through features such as annotation, coding and tagging, searching and filtering, visualizing connections, and sharing project data.

With Weft QDA, researchers can import and work with textual documents like interview transcripts, focus group reports, journal articles, web pages, PDFs, and OCRed images. It also supports analysis of multimedia files like images, audio recordings, and video files. Additionally, social media data, survey responses, CSV datasets, entire websites, Zotero collections etc. can also be imported and analyzed.

Once the data is imported, users can read through the documents and assign descriptive words or tags called “codes” to segments of text and multimedia that are relevant to the research questions at hand. These codes help categorize the data and identify themes and patterns. An unlimited number of codes and subcodes in a hierarchical structure can be created.

Weft QDA enables making annotations on the source data to record analyzer’s thoughts and observations. Relationships between coded segments can be visualized using code co-occurrence maps, network diagrams, and comparison charts. Advanced search and filtering allow focused analysis on subsets of data.

Finally, the coded data and visualizations can be exported in multiple formats. Reports can also be generated with quotations, code summaries, analytic memos to assist in further analysis and writing up findings.

Weft QDA Features

Official Links