This chapter introduces the process of combining the data from different components and explains five different ways to do this. It outlines five basic ways mixed methods data can be combined based on Greene et al.’s framework. The chapter explaines the five techniques for combining the data proposed by Greene et al., namely: triangulation, complementarity, development, initiation, and expansion. Within-method triangulation is where quantitative and qualitative data are collected through the same data collection method. Complementarity is also a helpful way to combine the data when practical limitations dictate the nature of the project. As initiation is concerned with generating ‘fresh insights’, the important part about combining the data is making sure that the inferences are examined for new evidence of convergence or divergence. T. D. Jick suggests that combining the data through triangulation is a delicate process.