O QDA Miner é um software de análise de dados qualitativos fácil de usar para organizar, codificar, anotar, recuperar e analisar coleções de documentos e imagens.
A ferramenta de análise de dados qualitativos do QDA Miner pode ser usada para analisar transcrições de entrevistas ou de grupos de foco, documentos jurídicos, artigos de imprensa, discursos e até livros inteiros, bem como desenhos, fotografias, pinturas e outros tipos de documentos visuais.
O QDA Miner oferece mais assistência computacional para codificação do que qualquer outro software de análise qualitativa no mercado, permitindo que codifique e analise os seus documentos com mais rapidez, mas também de forma mais confiável.
A integração perfeita do QDA Miner com o WordStat, um software de análise de conteúdo e mineração de texto e SimStat, uma ferramenta de análise estatística, oferece flexibilidade sem precedentes para analisar texto e relacionar o seu conteúdo com as informações estruturadas, incluindo dados numéricos e categóricos.
QDA Miner is an easy to use qualitative analysis software for organizing, coding, annotating, retrieving, and analyzing collections of documents and images. QDA Miner offers more computer assistance for coding than any other qualitative research software on the market, allowing you to code documents more quickly but also more reliably. The qualitative data analysis software integrates advanced statistical and visualization tools to quickly identify patterns and trends, explore patterns in your coding, as well as describe, compare and test hypotheses. This is one of the reasons why QDA Miner is considered by many to be the first and still only true, mixed methods qualitative software on the market today.
Import from many sources
QDA Miner allows you to directly import content in multi-languages from many sources:
- Import documents: Word, PDF, HTML, PowerPoint, RTF, TXT, XPS, ePUB, ODT, WordPerfect.
- Import data files: Excel, CSV, TSV, Access
- Import from statistical software: Stata, SPSS
- Import from social media: Facebook, Twitter, Reddit, YouTube, RSS
- Import from emails: Outlook, Gmail, MBox
- Import from web surveys: Qualtrics, SurveyMonkey, SurveyGizmo, QuestionPro, Voxco, triple-s
- Import from reference management tools: Endnote, Mendeley, Zotero, RIS
- Import news transcripts from the LexisNexis and Factiva output files
- Import graphics: BMP, WMF, JPG, GIF, PNG. Automatically extract any information associated with those images such as geographic location, title, description, authors, comments, etc. and transform those into variables
- Import from XML databases
- ODBC database connection is available.
- Import projects from qualitative software: NVivo, Atlas.ti, Qdpx files
- Import and analyze multi-language documents including right-to-left languages
- Monitor a specific folder, and automatically import any documents and images stored in this folder or monitor changes to the original source file or online services.
Organize your data
Several features allow you to easily organize your data in ways that make your coding and analysis process straightforward:
- Quickly group, label, sort, add, delete documents or find duplicates.
- Assign variables to your documents manually or automatically using the Document Conversion Wizard, ie: date, author, or demographic data such as age, gender, or location.
- Easily reorder, add, delete, edit, and, recode variables.
- Filter cases based on variable values or whether a document contains codes or not.
- Transform coded text into variables.
- This is very useful to extract relevant metadata from unstructured documents or transform an unstructured project into a structured one.
Manage your codebook
Creating a codebook is an important step in a qualitative data analysis project. QDA Miner provides dedicated tools that help you create and manage your codebook in a creative way:
- Easily create and edit a codebook.
- Assign a color and a memo to a code.
- Associate a list of keywords to code to easily retrieve text segments that contain those keywords.
- Dictionaries created using WordStat may be imported into QDA Miner and transformed into codes and categories.
- Save your codebook on disk in a separate file so it can be imported and used for another project.
Perform on-screen coding
Code text segments and images with an intuitive qualitative tagging process:
- Use on-screen coding and annotation of texts and images with easy drag and drop assignment of codes to text segments and images.
- Use the grid view mode that provides a convenient and very efficient way to code open-ended questions or short comments.
- Several features offer greater flexibility and ease-of-use, such as code splitting, merging, easy resizing of coded segments, interactive code searching and replacement, or virtual grouping.
- Add hyperlinks to text selection or coded segments so you can move to a web page, file, another case in your project, or other coded or uncoded text segments.
- Display a graphical overview of the coding of your current document to get a quick glimpse of the spatial distribution of the coding.
Speed up your coding
Code your documents more quickly and more reliably with seven text search and retrieval tools:
- The Keyword Retrieval tool can search for hundreds of keywords and key phrases related to the same idea or concept, allowing you to locate all references to a single topic.
- The Section Retrieval tool is ideal to automatically retrieve and code sections in structured documents.
- The Query by Example tool can be trained to retrieve text segments having similar meanings to the examples you feed in.
- The Cluster Extraction tool will group similar sentences or paragraphs into clusters and allows you to code these using a flexible drag-and-drop editor.
- The Code Similarity search will retrieve all text segments similar to those that have already been coded. One may even search for items similar to codes defined in previous coded projects.
- The Date and Location extraction tool is ideal to quickly locate and tag references to dates or geographic locations.
Analyze, visualize, explore
Many statistical and visualization tools have been integrated into QDA Miner to quickly identify patterns and trends, explore data, describe, compare, and test hypotheses.
- Use an interactive word cloud and word frequency table to obtain words frequency on any document variable or on results of retrieval operations (text, coding, section or keyword retrieval) as well as for a single document or for text displayed in the grid view.
- Analyze codes frequency, explore connections between codes using Cluster Analysis, Link Analysis, Sequence Analysis or Multidimensional Scaling,
- See the relationship between variable values and codes using Crosstabs, Correspondence Analysis, or Heatmaps.
- Compute statistical tests such as Chi-Square, Pearson Correlation, and so on, to help you identify the strongest relationships. No need to purchase a separate statistical software.
- Create a grid containing all coded text segments and/or comments and get a compact view of coded material using the Quotation Matrix.
Plot events using GIS Mapping and Time Tagging
All these innovative features make QDA Miner the most powerful geotagging qualitative tool on the market:
- Associate geographic and time coordinates to text selection or to any coded text segment or graphic area, allowing one to locate events both in space and time.
- Geographic coordinates can be imported from KML or KMZ files or cut from Google Earth and pasted into QDA Miner. One may then easily jump from a geo-link to Google Earth.
- A flexible link-retrieval tool may be used to filter and select relevant geo-linked or time-tagged events and display them either on a geographic map or a timeline.
- In QDA Miner, users can retrieve coded data, based on time and location, and plot events on timelines and maps.
Use the integrated geocoding service
Transform references to cities, states/provinces, countries, postal codes, and IP addresses into geographical coordinates. The GISViewer mapping module allows you to create interactive plots of data points, distribution maps, and heat maps.
Get unparalleled teamwork support
QDA Miner supports teamwork in highly effective ways. Dedicated functions make collaboration an easy task:
- Enhanced teamwork support features like a flexible multi-users settings tool allow you to define for each team worker what they can or cannot do.
- Get assistance in duplication and distribution of projects to team members.
- A powerful merge feature bringing together, in any single project, codings, annotations, reports, and log entries of different coders working independently.
- A unique inter-rater agreement assessment module may be used to ensure the coding reliability of multiple coders.
A powerful command log keeps track of every project access, coding operation, transformation, query, and analysis performed. Useful to document the qualitative analysis process and supervising teamwork.
Export and share results
In QDA Miner, you can easily create presentation-quality graphics such as bar charts, pie charts, bubble charts, and concept maps, and save them as an image (png, jpeg or BMP, WMF, EMF). Tables with statistics can also be easily exported to disk in different file formats including Word, Excel, CSV, HTML, XML, and delimited ASCII files, allowing the data to be further analyzed using a statistical program. QDA Miner statistical tables can export statistics directly to SPSS, Stata 8 to 15 or Tableau Software.
Better Anlaysis tools at your fingertips
Unique features to analyze open-ended questions, Customer feedback, new transcripts, social media and more
WHAT’S NEW IN VERSION 6.0
1. New Grid view mode for coding short responses
While appropriate for coding long documents, the standard document/case centric view of QDA Miner was less suited for coding short text responses such as response to open-ended questions or short comments. Now, QDA Miner 6 introduces a new grid view mode that provides a convenient and very efficient way to code this kind of text data. It is useful for everyone coding any type of open-ended comments, including surveys, employee comments, customer comments and allows one to quickly identify trends in a survey or major support issues that need to be addressed. It includes features such as:
- Drag-and-drop coding and annotation.
- Filtering of responses using text search expressions with Boolean operators
- Filtering of responses based on the number of codes (uncoded, coded, more than n codes, etc.) as well as on the presence or absence of specific codes.
- Sorting of rows either alphabetically, on text length, number of codes, or case number.
- Displays the number and percentage of coded responses,
- Computation of word clouds and word frequency analysis on text currently displayed in the grid.
2. Quotation Matrices
The quotation matrix allows you to create a large grid containing all coded text segments and/or comments where each cell represents the intersection of a specific code with either a specific case or a value of a categorical or numerical variable (age group, gender, source, etc.). Such a joint display provides a compact view of coded material ideal for reviewing work done by coders. More easily identify patterns, creating dense summaries of results, etc. This matrix may be created from the new RETRIEVAL | QUOTATION MATRIX command to obtain a codes x cases quotation matrix or from the ANALYSIS | CODING BY VARIABLES command for displaying coded materials by all values of a variable. It supports the following features:
- Displays either all comment types or specific ones based on subject, speaker etc.
- Text in each cell can be edited in with a rich text editor (font style, size and color, paragraph formatting, etc.)
- Multiple memos can be attached to individual cells.
- Rows and columns may be transposed.
- The matrix can be exported to disk in various formats, including Excel, CSV, TSV and a new PGRD format allowing one to review and edit the table outside of QDA Miner using a free grid viewer/editor.
3. Enhanced annotation feature
It is now possible to attach up to six types of comments to a single code mark. Annotations may serve different purposes such as formulating hypothesis, communicating concerns with team members, summarizing, etc. You are no longer restricted to a single comment type. The removal of such limitation and the introduction of the quotation matrix feature (see above) offers new possibilities for generating condense view of summaries, concerns, hypotheses, etc. It gives you much more flexibility on how to instruct, explain codes, pose, and answer questions.
4. Word Frequency Analysis and Word Cloud
Interactive word clouds and word frequency tables can now be obtained on any document variable or on results of retrieval operations (text, coding, section or keyword retrieval) as well as for a single document or for text displayed in the new grid view. One may tailor the word cloud (font, color, shape, etc.), customize stop words lists and perform text searches from it or from the associated word frequency table.
5. Importation of Nexis UNI and Factiva Files
It is now possible to import news transcripts from the LexisNexis and Factiva output files. After selecting one or multiple .DOCX or RTF files obtained from those services, QDA Miner will extract and store in separate variables the title and body of the news transcript, its source, the publication date, and other relevant information. Such a feature should prove useful for reputation management, brand management, crisis communication, media framing analysis, comparative media studies, etc.
6. Improved Importation of Excel, CSV and TSV files.
When importing files from Excel, CSV or TSV files a new wizard dialog box will allow you to select variables, rename them, import variable description, and perform batch data type conversions This gives you greater flexibility to set up your analysis, make it more precise and start it more quickly, saving time and resources.
7. Deviation Table
The CODING BY VARIABLES feature now offers the possibility to produce a deviation table that allows one to obtain a list of codes most or least characteristic of different values of an independent variable as compared to other classes of this variable.
8. Export Results to Tableau Software
One can now export results to Tableau Software allowing one to use its advanced interactive data visualization tools. This feature is available from the CODING FREQUENCY and the CODING BY VARIABLES dialog boxes.
9. Numerical Transformation
A new numerical transformation dialog box allows you to compute numerical variables from other variables with up to 50 transformation functions including trigonometric, statistical, random number functions. Conditional transformation can also be performed using an IF-THEN-ELSE logical structure.
A binning feature can now be used to transform continuous values into a smaller number of distinct categories. It may be used to reduce the effect of numerical outliers, abnormal distributions, or convert a continuous numerical variable into an ordinal one. It is especially useful for creating graphic displays of comparisons when the number of distinct values in the numerical variable is too high.
11. Support of Missing Values
You can now associate to numerical, categorical, and short string variables up to three values that will be treated as missing data.
12. Silhouette plot
A new silhouette plot feature has been added to the hierarchical cluster analysis, allowing one to assess the quality of the cluster solution and identify potential misclassified items.
13. Date transformation
Date and date and time variables can now be used to create other categorical or numerical variables such as months, days or weekdays, months, years, etc.
14. Improved code filtering feature.
The code filtering feature may now be used to filter cases based on the presence, the absence of specific codes or combinations of codes.
15. Donut, Radar, 100% Stacked Bar and Area Charts.
A donut chart can now be used to display relative codes or class frequencies (CODING FREQUENCY and VARIABLE STATISTICS dialog boxes). The charting feature of the CODING BY VARIABLES dialog box also adds the possibility to create a radar chart, a 100% stacked bar chart as well as two types of stacked area charts.
16. Ordering of series in comparison charts.
The relative position of a series of comparisons charts created from the CODING BY VARIABLES dialog box may now be manually adjusted, allowing you to achieve more appealing or revealing visualizations.
17. Color Coding of items in Correspondence Plot
Color gradients may now be used to represent the position of specific words or variable classes on the third (depth) dimension or 2D as well as 3D correspondence plot. Up to four colors may be chosen to create those gradients.
18. Improved Bubble Chart
It is now possible to transpose rows and columns of bubble charts and finely adjust the size of the bubbles.
19. Link Analysis Buffer
A link analysis buffer allows one to move back to previous link diagrams and then forward.
20. New Table Format and Table Editor
A new proprietary table format (*.pgrd) has been added to the exportation of tables to disk, allowing one to easily edit and annotate tables produced by QDA Miner. A free standalone table viewer may also be downloaded from our web site, allowing anyone to view, edit and annotate saved tables.
21. Numerous Additional Improvements
Several new options and interface improvements have been made to existing dialog boxes (code color selection, graphic options, etc.), management and analysis features.
• Operating System: Microsoft Windows XP, 2000, Vista, Windows 7, 8 and 10
• Operating System: Microsoft Windows XP, 2000, Vista, Windows 7, 8 and 10
• Memory: From 256 MB (XP) to 1GB (Vista, Windows 7, 8 and 10)
• Disk Space: 40 MB of disk space.
QDA Miner will run on a Mac OS using virtual machine solution or Boot Camp, and on Linux computers using CrossOver or Wine. Click here for more information on ways to run QDA Miner on a Mac OS computer.
Para mais informações entre em contato:
Telefone: 351 210 124 743
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2635-361, Sintra, Portugal
Telefone: 210 124 743
Telemóvel: 932 027 860
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