Mixed methods research: Definition, types, benefits, and challenges

Independent variables are the predictors you set or measure first, and dependent variables are the outcomes recorded afterward. Define the two variables with clear units, timing, and coding;

Hauntingly easy data tricks: Tips for organizing and analyzing mixed methods data

Mixed methods research doesn’t have to be overwhelming—structured data collection and smart use of tools like NVivo, ATLAS.ti, and XLSTAT can simplify the entire process. From transcribing interviews to organizing field notes and running statistical analyses, staying disciplined and methodical is the key to turning messy data into meaningful insights.

Behind the breakthroughs: Using XLSTAT to understand consumer acceptance of biofortified foods

Consumer acceptance is critical for the success of biofortified foods—nutritional value alone isn’t enough. Using XLSTAT, researchers uncovered that sweetness, light texture, and smooth mouthfeel were the strongest drivers of preference for kisra made with nutrient-rich sorghum.

Meet XLSTAT 2025.1 + AI Assistant: The simplest way to powerful, no-code analytics

Say hello to the next evolution of XLSTAT. With AI-driven statistical insights, a modernized user interface, and new tailored packages, XLSTAT 2025.1 helps you go from data to decisions—faster than ever.

Back to school with NVivo and XLSTAT: What’s new this year

NVivo and XLSTAT have rolled out major updates over the past year (with more coming soon!)—if you haven’t checked in lately, now’s the time to catch up. These new features are designed to make data analysis faster, smarter, and more accessible—just in time for the new academic year.

Transforming Data Analysis in Academia: Why Universities are Choosing XLSTAT

Navigating the demands of data analysis in academia is no small task. Researchers and educators often juggle tight deadlines, complex software, and the challenge of teaching statistical concepts in a way that’s clear and engaging for students.