This chapter aims to trace the authors’ research journey, where they faced challenges during fieldwork and statistical analysis in trying to report the prevalence of death anxiety among Indian nurses. The authors elaborate on ethical approval processes, bureaucratic hurdles, and safety issues that are encountered on the field, which significantly shaped the research process. The latter part of the chapter reflects on latent profile analysis (LPA), a person-centred statistical approach that identifies unobserved sub-groups within a population based on individuals’ response patterns across multiple variables. The authors discuss how profiling using LPA served as a powerful alternative to traditional prevalence estimation when faced with methodological limitations such as the absence of diagnostic tools and accessible databases, thus offering richer, multidimensional insights by integrating multiple indicators, such as death anxiety and mental health. Despite its growing application in other disciplines such as management sciences, LPA remains underutilized in mental health research. By illustrating both the strengths and limitations of LPA, this chapter supports researchers in making informed methodological choices and encourages flexibility beyond conventional statistical methods. It also highlights the broader challenges faced by researchers in resource-constrained contexts, especially the ethical and safety considerations of conducting fieldwork in India. The chapter further emphasizes the value of methodological openness, such as learning different software, and the importance of cross-disciplinary learning for future researchers in addressing complex research questions.