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QDA Miner 5
質性資料分析軟體
Qualitative Data Analysis software
軟體代號:9068
瀏覽次數:1391
WindowsVISTAWindows7Windows8Windows 10

臺北城市科技大學
國立陽明交通大學 (光復校區)
旺宏電子股份有限公司
朝陽科技大學
資訊管理學系
教育學研究所
Features

LIST OF FEATURES

  TEXT MANGEMENT AND QUALITATIVE ANALYSIS FEATURES

This new qualitative data analysis software provides an easy way to manage documents, and perform common qualitative analysis tasks.

         Text management features:

  • Storing and editing of documents in Rich Text format.
  • Project files organized by cases, each case can contain up to 2030 variables including multiple documents, numeric, nominal/ordinal, date or Boolean values.
  • Importation from various file format such as Excel, Access, Paradox, dBase, SPSS, NVivo, N6, Atlas.ti, Transana, Transcriber, etc.
  • Document conversion wizard allows one to easily import documents from various file format and to automatically extract numeric and alphanumeric values.
  • Copy, backup and restore existing projects files.
  • Easy filtering of cases.

          Coding features:

  • Easy creation and edition of codebooks (hierarchical).
  • Intuitive drag and drop assignment of codes to text segments and images..

        

  • Notes can be assigned to projects, codes and coded segments.
  • Code merging, splitting, virtual grouping as well as search and replace.
  • Ability to import codebooks from other projects.

  TEXT RETRIEVAL AND CODING ANALYSIS FEATURES

  • The Text Retrieval tool searches for specific text patterns in documents. Complex search patterns may be performed using Boolean operators, wildcards and thesaurus searches. Retrieved paragraphs, sentences of text segments may then be coded or saved to disk (as new project, in HTML, Excel, or delimited text files).

         

  • The Section Retrieval tool searches structured documents for sections bounded by fixed delimiters. This feature is useful to automatically assign codes to recurring sections within a document or in multiple documents.

  • The Keyword Retrieval feature can retrieve any document, paragraph, sentence, or coded segment containing a specific WordStat keyword or a combination of keywords.

  • The Coding Frequencies tool allows one to obtain a list of all codes in the current codebook along with their description and various statistics such as their frequency, the number of cases in which they are found, and the total number of words in the associated text segments. This dialog box also allows one to produce bar charts and pie charts from those statistics.

  • The Coding Retrieval tool lists all text segments associated with some codes or with specific patterns of codes. Complex search patterns may include criteria such as equality, proximity, overlapping, inclusion, sequential relationships, as well as Boolean operators (AND, OR, NOT).

          

  • The Codes Co-occurrences tool uses information about the proximity or the co-occurrence of codes within documents to explore potential relationships among them as well as similarities among cases. This feature gives access to various statistical and graphic tools such as hierarchical cluster analysis, multidimensional scaling, and proximity plots.

                

  • The Coding Sequences tool can be used to identify recurring sequences of codes. This feature can produce frequency lists of all sequences involving two selected sets of codes as well as the percentage of times one code follows or is followed by another one.

       

  • The Coding by Variable tool is useful for identifing or testing potential code similarities or differences between subgroup of cases (categorical variable) or to assess the relationship between these codes and other numerical variables. Various statistical and graphical tools are used for this purpose such as contingency tables, association statistics, bar charts, line charts, heatmaps, correspondence plot, etc.

              

          

  • The Coding Agreement tool is used to compare the consistency of coding between several coders. Such a tool can be useful to uncover differences in interpretation, clarify equivocal rules, identify ambiguity in the text, and ultimately quantify the final level of agreement obtained by those raters. Computes of percentage of agreement, correction for chances (Free Marginal, Scott's Pi, and Krippendorff's alpha), list of disagreements, etc.

      

  • Optional Quantitative Content Analysis and Text Mining module. WordStat is a powerful quantitative content analysis and text mining software. When used as an add-on to QDA Miner, it analyzes words and phrases found in specific documents or in selected coded segments. WordStat can perform simple descriptive analysis or explore in greater details the relationships between words or categories of words and other numeric or categorical variables.
  • Optional Statistical Analysis module. Simstat is a comprehensive statistical analysis application. Since it uses the same file format as QDA Miner, Simstat can be used to perform statistical analysis on any numerical data stored in a QDA Miner project file. It can also perform numeric and alphanumeric computation, transformation and recoding of variables, as well as advanced file management procedures such as data file merging, file aggregation, etc.

  MISCELLANEOUS FEATURES

          Multilingual interface

  • The program interface is currently available in English, French and Spanish.Contact us for information on the availability of other languages.

          Output features

  • Saving of tabular outputs to disk in Excel, HTML, XML, plain text, comma or tab separated value or as a Word document..
  • Saving of graphics to disk as BMP, WMF, JPG, or PNG files.
  • Documents may be exported to disk in plain text, RTF or HTML.
  • Whole projects, including tagged documents, may be exported to disk in XML format.

           Teamwork features

  • The Security/Multi-Users feature allows to control users privileges and restrict access of selected features (prevent modification to documents, variables, or cases, prevent viewing codes assigned by other users, etc.).

  • The Merge Projects feature allows one to combine two or more project files into a single one, allowing one to synchronize one's own work performed on different computers. As well, both an individual or various team members may work on the same set or different sets of documents and then merge them along with their associated codings into a single master project.
Overview

What is QDA Miner? 
QDA Miner is an easy-to-use 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, even entire books, as well as drawing, photographs, paintings, and other types of visual documents.

Its seamless integration with Simstat, a statistical data analysis tool, and WordStat, a content analysis and text-mining module, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.

    

Who uses QDA Miner? 
Anyone who needs to code, annotate, search, explore and extract    information from small and large collections of documents and images such as:

  • Researchers in social sciences, medicine, and psychology
  • Sociologists, political scientists and ethnographers  
  • Market researchers, pollsters, business intelligence  analysts, and CRM professionals
  • Crime analysts, fraud detection experts, lawyers, 
    and paralegal professionals
  • Journalists, historians and research assistants  
  • Document management specialists and librarians  

QDA Miner Unique Features
Since its introduction, QDA Miner has established itself as a trend setter among computer-assisted qualitative data analysis software applications by offering truly innovative features, such as:

  • Integrated statistical and visualization tools, such as clustering, multidimensional scaling, heatmaps, correspondence analysis and sequence analysis, allow one to quickly identify patterns and trends, explore data, as well as describe, compare and test hypotheses. All these tools are readily available in just a few mouse clicks. No need to purchase separate statistical software or transfer data to another application. This is one of the reasons that QDA Miner is considered by many to be the very first and still only  mixed-model qualitative analysis software available on the market today.

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

  • A powerful 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 invaluable 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.

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

  • Unprecedented teamwork support with flexible multi-user settings, convenient collaboration tools, a powerful 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.

Other Features
QDA Miner empowers analysts with far greater and faster in-depth analysis while keeping them close to the data. Some of the tools offered include:

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

  • Powerful autocoding from any text searches and from advanced coding retrieval results involving overlap, proximity, sequence, exclusion, etc.

  • A wide choice of text retrieval tools, including a powerful 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 powerful content analysis dictionaries; and an exclusive query-by-example text search engine with optional fuzzy pattern matching and machine learning features.

  • Importation of a wide range of document and image file formats as well as database, spreadsheet, transcription tools, and qualitative software files (QSR N6, Nvivo 7 and Nvivo 8, Atlas.ti, HyperResearch, Ethnograph, Transana, & Transcriber).

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

  • 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.

  • Powerful 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.

  • Flexible data management tools supporting numerous data types (documents, images, numeric data, dates, logical and categorical variables) and allowing transformation and recoding.
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Taipei City University of Science and Technology DEPARTMENT OF INFORMATION MANAGEMENT