Essential Sociology Research Terms
Qualitative and quantitative data are the two main types you'll encounter everywhere in sociology. Qualitative gives you the rich, descriptive stuff - think interview quotes and personal stories. Quantitative is all about numbers, charts, and statistics that you can measure and count.
When evaluating any study, you need to check its reliability and validity. Reliability means other researchers could repeat the study and get similar results - it's consistent. Validity asks whether the research actually measures what it claims to measure and gives you a true picture of reality.
Your sample is the group of people you're studying, chosen from the larger population. Representativeness ensures your sample actually reflects the bigger group you want to understand - you can't study just university students and claim it represents all teenagers!
💡 Quick Check: If a study about social media use only surveyed people over 60, would it be representative of all social media users?
Verstehen is a fancy German term meaning you need to empathetically understand your research subjects - get inside their heads. Ethnographic research takes this further by studying people in their natural environment over long periods, like living with a community to understand their culture properly.
Primary data is what you collect yourself through surveys, interviews, or observations. Secondary data comes from other researchers' work, like government statistics or previous studies.
Finally, a hypothesis is your testable prediction about what you'll find, whilst operationalisation means turning vague concepts into specific, measurable things. Sampling is simply the process of picking your research group from the larger population.