When you undertake a research project, you’ll rarely rely on just one isolated method. Instead, you’ll choose and combine different types of research approaches to fit your specific questions, the data you have access to, and your goals. The four main research axes—primary versus secondary data, quantitative versus qualitative information, analytical versus descriptive focus, and basic versus applied purpose—give you a flexible framework to design a study that is both rigorous and relevant.
Sometimes you might focus on one clear approach from each axis to keep your research precise and manageable, like running a primary, quantitative, analytical, and basic experiment. Other times, you’ll blend multiple approaches across these axes to capture more complexity and gain richer insights. For example, combining interviews you conduct with analysis of existing data can help you understand both personal experiences and broader trends.
The following examples show your range of choices—from focused single-axis studies to complex mixed-methods projects—across fields including psychology, health, STEM, and architecture. They show how thoughtful selection and integration of methods help you conduct more effective research and deliver meaningful, impactful results..
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