Quantitative_Research_And_Data_Collection_Method represents systematic approaches to gathering and analysing numerical data to identify patterns, test hypotheses, and make generalizable conclusions about social phenomena. These methods emphasise measurement, statistical analysis, and the ability to quantify relationships between variables across populations. Survey research forms a cornerstone of this category, collecting standardised data from representative samples through questionnaires and interviews. Content analysis provides systematic coding of communication materials, while comparative research enables cross-cultural and cross-national analysis. Secondary analysis leverages existing datasets for new research questions, making efficient use of previously collected information. Victimisation surveys and vital statistics represent specialised data collection approaches for specific social domains. Mixed methods bridge qualitative and quantitative traditions, combining numerical precision with contextual understanding. These approaches prioritise reliability, validity, and replicability, enabling researchers to identify statistical relationships, test causal hypotheses, and produce findings that can inform evidence-based policy decisions and theoretical development in sociology.