A500.7.3.RB - Quantitative Research Reflection
         Quantitative research is about asking people for their opinions in a structured way so that you can produce hard facts and statistics to guide you. It is used to calculate the problem by way of generating numerical data or data that can be transformed into usable statistics. To get reliable statistical results, it’s important to survey people in fairly large numbers and to make sure they are a representative sample of your target market.
         Quantitative research asks two basic questions: what exits or happens in society (descriptive research) or why does it exist or happens (explanatory research). Good explanatory research can only be built on solid descriptive knowledge. Quantitative research aims at causal explanation. It answers primarily to why?

         It is used to quantify attitudes, opinions, behaviors, and other defined variables – and generalize results from a larger sample population. Quantitative Research uses measurable data to formulate facts and uncover patterns in research. Quantitative data collection methods are much more structured than qualitative data collection methods. Quantitative data collection methods include various forms of surveys – online surveys, paper surveys, mobile surveys and kiosk surveys, face-to-face interviews, telephone interviews, longitudinal studies, website interceptors, online polls, and systematic observations. Survey questions have to be carefully considered so that the results will provide meaningful data.

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