AnalyVa – Integrated research analysis combining statistical and textual methods

Summary: AnalyVa integrates PLS-SEM, CB-SEM, SPSS-like statistics, and NVivo-like textual analysis into one software for macOS and Windows. It supports path modeling, bootstrap, IPMA, MGA, FIMIX, NCA, HTMT, factor analysis, and sentiment analysis, streamlining workflows by eliminating the need for multiple tools.

What it does

AnalyVa consolidates statistical, structural equation modeling, and textual analysis using Python and R libraries, enabling researchers to perform diverse analyses within a single platform.

Who it's for

It targets researchers, academics, and data analysts who require integrated workflows for quantitative and qualitative data analysis.

Why it matters

It reduces the complexity and inefficiency of switching between separate software for different analysis methods.