SimStat – statistical analysis and bootstrapping with powerful and easy to use output features
SimStat goes beyond mere statistical analysis. It offers output management features not found in any other program, as well as its own scripting language to automate statistical analysis and to write small applications, interactive tutorials with multimedia capabilities, as well as computer assisted interviewing systems.
SimStat supports not only numerical and categorical data, dates and short alpha-numeric variables 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. Since all Provalis Research tools share the same file format, one can easily perform statistical analysis on numerical and categorical data using SimStat, perform qualitative coding on stored documents using QDA Miner or apply the powerful content analysis and text mining features of WordStat on those same documents. Moreover, the coexistence of numerical, categorical and textual data in the same data file gives a unique ability to explore relationships between numerical and textual variables or to compare qualitative codings or content categories between subgroups of individuals.
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