|
| Welcome to DataSense, LLC
Software E-Commerce Site
We are authorized USA resellers for the latest versions of leading software recognized and used worldwide in qualitative and mixed-methods research.
Purchase Options
Purchase securely on this site using major credit card, check, or purchase order.
Quantity Discounts
Quantity discounts that are currently available are listed on each product page. Quantity discounts are automatically applied and calculated in the shopping cart.
NVivo 8 is the next release in the NVivo product line. Import and analyze audio, video, photos, pdf and Word documents; create and export professional charts; compare analysis completed by different uses or share your project with non NVivo users as a HTML web page. NVivo 8's new features make it the ultimate project partner. Download March 12; boxed copies available April 2008.
NVivo 7 (Downloads are still available.) NVivo 7 takes the best of the world's leading research software (NVivo 2.0 and N6) and adds a whole range of innovative new features. Simple to use for those new to managing unstructured data, through to the most advanced researcher, it will handle virtually any volume of information. Inbuilt merge functionality also allows you to combine multiple NVivo 7 projects.
XSight is market research software that helps you make sense of information - and fast. Whether you're tracking customer satisfaction, testing an advertising campaign, researching new packaging or involved in community consultation, XSight will partner you through the entire process, delivering results in record time. You don't have to be a market researcher to use it either. Because every organization deals in information, XSight can add value in almost every setting.
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 drawings, photographs, paintings, and other types of visual documents. Its seamless integration with SimStat, a statistical data analysis tool, and WordStat, a quantitative 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.
SimStat is an easy-to-use statistical software offering a wide range of statistics, intuitive data and output management features as well as its own scripting language to automate statistical analysis and to write small applications, interactive tutorials, computer assisted interviewing systems. SimStat data file supports not only numerical and categorical data, dates and short alpha-numeric variable but also memos and documents variables allowing one to store in the same project file responses to open-ended questions, interview transcripts, full reports, etc.
WordStat is a module that must be run from either of the base products SimStat or QDA Miner. Whether you need a text mining tool for fast extraction of themes and trends or achieve careful and precise measurement with a state-of-the-art quantitative content analysis method, WordStat provides a unique combination of both approaches in a flexible and easy to use text analysis software.
Qualrus is qualitative analysis software that uses an array of intelligent computational strategies to assist with coding and qualitative research. It is designed from the ground up to establish new standards for qualitative analysis software. Qualrus stresses flexibility of research methodology and does not force any particular qualitative research style on you. It can be used for the full range of qualitative research approaches, including grounded theory (in which concepts emerge from the data), cultural analysis, interpretive methods, domain analysis, semiotics, life histories, deconstruction, bracketing, experiential analysis, and narratives.
Need assistance?
If you require further information or assistance, please contact DataSense.
|
|
|