In studies focusing on cybersecurity from a social science perspective, like “White-Collar Cybercrime: White-Collar Crime, Cybercrime, or Both?,” researchers employ diverse methodologies to collect, measure, and analyze data. Surveys and questionnaires are designed to capture individuals’ behaviors and attitudes toward cybersecurity, while interviews offer in-depth insights into diverse perspectives. Observational studies document real-world online behaviors, examining interactions with cybersecurity measures. Data is measured using psychometric scales for subjective constructs and behavioral metrics for objective practices. Analysis includes quantitative approaches such as statistical methods and machine learning, alongside qualitative methods like thematic analysis. Ethical considerations, including participant privacy, informed consent, and responsible data handling, are paramount. The peer review process ensures the credibility of research, and some studies adopt a longitudinal approach to track changes over time. This social science lens allows researchers to comprehensively address the intricate interplay between human behavior and cybersecurity dynamics.