QDA Miner

Category Intelligent Software>Data Mining Systems/Tools

Abstract QDA Miner is a mixed-model qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images.

QDA Miner may be used to analyze interview or focus-group transcripts, legal documents, journal articles, entire books, as well as drawing, photographs, paintings, and other types of visual documents.

Products seamless integration with Simstat, a statistical data analysis tool, and WordStat (see G6G Abstract Number 20169R), a quantitative content analysis and text-mining module, gives you flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.

It can be used by researchers in social sciences, medicine, and psychology, and journalists, historians and research assistants, and sociologists, political scientists and ethnographers, etc.

QDA Miner unique features/capabilities include:

1) Integrated statistical and visualization tools, such as clustering, multidimensional scaling, heat maps, correspondence analysis and sequence analysis, allow one to quickly identify patterns and trends, explore data, as well as describe, compare and test hypotheses.

2) A unique report manager tool that allows researchers to store, in a single location, queries and analysis results, tables and graphs, research notes and quotes.

Products outliner design is ideal for organizing information, structuring findings and interpretations, keeping track of progresses, and supporting researchers, in the report-writing process.

3) An advanced command log that keeps track of every project access, coding operation, transformation, query and analysis performed.

This tool may be used to document the analysis process and supervise team-work, as well as to recall and repeat previously performed queries and analyses and undo some operations performed many days or even months ago.

Along with the Report Manager, this log provides information for the creation of a detailed audit trail, quite useful to ensure the transparency of the research process and to establish the credibility of the study.

4) Unique and advanced text retrieval and text analysis tools - including the Keyword Retrieval feature and the new Query-by-Example search and retrieval function - that employ technologies from various domains, such as information retrieval, machine learning, computational linguistics, and text mining.

5) Teamwork support with flexible multi-user settings, convenient collaboration tools, and an advanced merge feature for bringing together into a single project, coding, annotations, reports and log entries of different coders working independently.

The unique inter-raters agreement assessment module also allows researchers to ensure the coding reliability of multiple coders.

QDA Miner other features/capabilities include:

1) Intuitive on-screen coding and annotations of texts and images with additional features offering flexibility, such as code splitting and merging, resizing of coded segments, and interactive code searching and replacement.

2) Advanced autocoding from any text searches and from advanced coding retrieval results involving overlap, proximity, sequence, exclusion, etc.

3) A wide choice of text retrieval tools, including an advanced text search engine with Boolean operators and thesaurus queries; a section extraction tool for quick retrieval and coding of structured documents;

A keyword search based on advanced content analysis dictionaries; and an exclusive query-by-example text search engine with optional fuzzy pattern matching and machine learning features.

4) Importation of a wide range of document and image file formats as well as database, spreadsheet, transcription tools, and qualitative software files (QSR N6, Atlas.ti, HyperResearch, Ethnograph, Transana, & Transcriber).

5) Documents stored in Rich Text Format (RTF) support font and paragraph formatting, graphics and tables, and may be edited at any time without affecting the existing coding.

6) Flexible coding retrieval and analysis tools for extracting coded segments associated with specific codes or code patterns and identifying coding co-occurrences, coding sequences and assess relationships between assigned codes and other numerical or categorical properties.

7) An advanced document management tool offering a robust solution for handling both simple document sets and complex projects involving large collections of documents and images combined with numerical and categorical information.

8) Flexible data management tools supporting numerous data types (documents, images, numeric data, and dates, logical and categorical variables) and allowing transformation and recoding.

Version QDA MINER 3.2 introduces several useful features including:

1) Virtual grouping of codes for flexible analysis of hierarchical coding.

2) New bubble charts and stacked bar charts for displaying relationships between coding and variables.

3) Improved data management features (e.g., incremental importation).

4) Integrated statistical routines for assessing the uni-variate and bi-variate distributions of numerical and categorical variables.

5) New intuitive text-retrieval tools for easier data inspection.

6) Improved integration with WordStat for in-depth analysis of query results.

7) Several speed optimizations for large projects involving numerous cases as well as very large documents.

8) Numerous improvements to the user interface.

System Requirements


Manufacturer Web Site QDA Miner

Price Contact manufacturer.

G6G Abstract Number 20168R

G6G Manufacturer Number 102232