SimStat is a statistical analysis software application designed for the management, analysis, and reporting of numerical, categorical, and textual data. It supports a wide range of data types, including dates, short alphanumeric variables, memos, and document variables, allowing users to store and analyze both quantitative and qualitative information within the same project file. SimStat features a spreadsheet-like data editor, advanced output management, and its own scripting language for automating analyses and building small applications. The software integrates seamlessly with other Provalis Research tools (QDA Miner and WordStat), enabling mixed-methods research and exploration of relationships between numerical and textual variables. SimStat is suitable for academic, business, and government users who require flexible, transparent, and reproducible statistical analysis.

Key Features

Comprehensive Statistical Analysis Performs a wide range of statistical tests and analyses.

• Descriptive statistics, frequency tables, percentiles
• Barcharts, pie charts, histograms, normal probability plots
• Correlation, regression, ANOVA, t-tests, non-parametric tests
• Factor analysis, classical item analysis for scale development

Advanced Data Management Spreadsheet-like data editor and robust data handling.

• Supports up to 2035 variables per file
• Imports/exports multiple formats: Excel, SPSS, DBase, FoxPro, Paradox, Lotus, Quattro Pro, XML
• Data transformation, recoding, ranking, and conditional transformation
• Filtering and sorting using complex expressions

Output Management and Scripting Automates analysis and reporting.

• Output management features for organizing and exporting results
• Built-in scripting language for automating tasks and creating tutorials or small applications
• Stores results in rich text format

Integration with Qualitative and Content Analysis Tools Enables mixed-methods research.

• Shares file format with QDA Miner and WordStat
• Analyze relationships between quantitative and qualitative data

Benefits

Efficient Mixed-Methods Analysis Combines quantitative and qualitative data in a single workflow.

• Store and analyze open-ended responses, transcripts, and reports alongside numerical data
• Seamless integration with qualitative coding and content analysis tools

Automation and Reproducibility Streamlines repetitive tasks and ensures consistent results.

• Scripting language for automating analyses and reporting
• Output management for easy documentation and sharing

Flexible Data Handling Adapts to diverse data sources and research needs.

• Supports a wide range of file formats and data types
• Advanced data transformation and filtering capabilities

Comprehensive Statistical Tools Covers a broad spectrum of statistical methods.

• Suitable for academic, business, and government research
• Includes modules for factor analysis and item analysis