Social science research depends fundamentally on data, which provide the empirical basis for understanding social realities, testing theories, and generating new knowledge. Data in social science are broadly understood as systematically collected information about social phenomena, human behavior, institutions, and relationships. The sources of such data are diverse, reflecting the complexity of social life and the variety of research questions addressed by social scientists. These sources can be classified in multiple ways, most commonly into primary and secondary sources, and further into qualitative and quantitative forms. Each source has its own relevance, strengths, and limitations, and the choice of data source depends on the nature, objectives, and scope of the research. Primary data refer to data collected first-hand by the researcher for a specific research purpose. These data are original and directly related to the problem under investigation. One of the most widely used sources of primary data in social science research is the survey. Surveys involve the systematic collection of information from a sample of individuals using structured instruments such as questionnaires or interview schedules. Surveys are especially useful for collecting quantitative data on attitudes, opinions, behaviors, and socio-economic characteristics. They allow for generalization when properly designed and can cover large populations. However, surveys may suffer from limitations such as response bias, low response rates, and the inability to capture deep contextual meanings. Interviews constitute another important source of primary data. They may be structured, semi-structured, or unstructured, depending on the degree of flexibility allowed to the researcher. Structured interviews follow a