Based on the insights and cues offered by Small and Cook, we carry out a retrospective analysis of motives in semi-structured interview data in which the researcher did not code for motives but used proxies or justifications to account for motives. We ask: Can we conduct a secondary analysis that codes for motives in data that were not collected using the tools outlined by Small and Cook and in which the primary researcher originally coded for justifications or other motive proxies? We argue that it is possible and propose five steps to help scholars reconceptualize and reanalyze data in light of the recent developments and insights in sociological research, which we call the 5Rs Method. The chapter is divided into three sections. First, we provide the scope conditions of what constitutes a motive and an overview of the biases and challenges put forward by Small and Cook. Then, we develop the 5Rs Method, which will allow us to reanalyze semi-structured interview data to study motives. The following model is an iterative process where the researcher goes back and forth between codes, the codebook, and the data. Our proposed technique is divided into five sequential steps that each start with the letter “R,” which we call the 5Rs method: 1) redefine, 2) reduce, 3) recode, 4) rule out, and 5) reanalyze. Lastly, we offer some conclusions.