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The pages below contain examples (often hypothetical) illustrating the application of different statistical analysis techniques using different statistical packages. Each page provides a handful of examples of when the analysis might be used along with sample data, an example analysis, explanation of the output, a short sample write-up, followed by references for more information. These pages merely introduce the essence of the technique and do not to provide a comprehensive description of how to use it.

Transana is software for professional researchers who want to analyze digital video or audio data. Transana lets you analyze and manage your data in very sophisticated ways. Transcribe it, identify analytically interesting clips, assign keywords to clips, arrange and rearrange clips, create complex collections of interrelated clips, explore relationships between applied keywords, and share your analysis with colleagues. The result is a new way to focus on your data, and a new way to manage large collections of video and audio files and clips. Transana is inexpensive and Open Source. It was developed at the Wisconsin Center for Education Research, where it continues to be maintained and enhanced. It is widely used in the education research community, where video is an integral part of most researchers' methods. Researchers in many other disciplines also find it useful in their work.

A guide to qualitative data analysis, including explanations and suggestions about analysis methods for beginners, lists of software features and reviews to assist with QDA, and strategies for more advanced researchers

This wiki describes tools and formats for creating and managing linguistic annotations. `Linguistic annotation' covers any descriptive or analytic notations applied to raw language data. The basic data may be in the form of time functions -- audio, video and/or physiological recordings -- or it may be textual. The added notations may include transcriptions of all sorts (from phonetic features to discourse structures), part-of-speech and sense tagging, syntactic analysis, "named entity" identification, co-reference annotation, and so on. The focus is on tools which have been widely used for constructing annotated linguistic databases, and on the formats commonly adopted by such tools and databases.

GoldVarb is a Macintosh™ application for carrying out variable rule analysis and associated data manipulations and displays.

Media Cloud is a system that lets you see the flow of the media. The Internet is fundamentally altering the way that news is produced and distributed, but there are few comprehensive approaches to understanding the nature of these changes. Media Cloud automatically builds an archive of news stories and blog posts from the web, applies language processing, and gives you ways to analyze and visualize the data. The system is still in early development, but we invite you to explore our current data and suggest research ideas. This is an open-source project, and we will be releasing all of the code soon.

StatPac for Windows is a complete package for processing surveys from start to finish. Use our software to conduct an online survey, telephone interviews (CATI), or a traditional paper questionnaire. Three powerful survey software programs. Use them together or by themselves to handle all your research needs. ● Online surveys ● Basic statistics ● Advanced statistical analysis. StatPac is the recognized leader for producing crosstabs and banner tables.

"Digital_Humanities is a compact, game-changing report on the state of contemporary knowledge production. Answering the question, "What is digital humanities?," it provides an in-depth examination of an emerging field. This collaboratively authored and visually compelling volume explores methodologies and techniques unfamiliar to traditional modes of humanistic inquiry--including geospatial analysis, data mining, corpus linguistics, visualization, and simulation--to show their relevance for contemporary culture." Open Access PDF version available for free download

My name is David Walonick and I'm a statistics professor at the University of St. Thomas in St. Paul, Minnesota. I originally wrote Survival Statistics for my students, but then realized how important the information was to everyone. If you're conducting a survey then you need to learn statistics. Survival Statistics focuses on concepts... not formulas.