This chapter will show the reader how to conduct a csQCA. One of the explanatory tools provided will be several tables that are used to link the different causal condition complexes to differing political and economic outcomes. A step-by-step analysis is presented herein, which will bring the method itself into sharp focus for other researchers to reflect on and integrate into their own research practice. This chapter is the main methodological contribution of this book. It also illustrates the type of empirical contribution that can be made with the implementation of csQCA. It uses detailed empirical findings on iron ore mining politics and the role of resistance to signpost and provide a practical example of how this method can be put into practice. It shows how QCA presents a path to conducting an analysis that is based not on isolated case studies or assumptions but rather on a rigorous and systematic analysis of social realities. This chapter illustrates a practice-based example of what type of analytical text and tables should be provided in QCA. To shed light on the methodology and how it can be used to systematically observe the separate and joint impact of various factors, this chapter is divided into two major sections, one focusing on resistance strategies and their outcomes and the other on the contingencies possibly affecting the causalities. This chapter shows how QCA can be used to explain how outcomes are produced by causal condition complexes, which in the case of social movement outcomes consists of several strategies and contingency factors. This type of analysis offers more value to policy makers and analysts than simplistic accounts of correlation. The role of necessary and sufficient causal conditions is also explored and explained through examples, alongside how to handle the recalibration of results and data gathering from a distance. I will also discuss the difference between probabilistic and minimal formula (parsimony-seeking) approaches, starting with the first approach, which makes broader reflections based on QCA tables.