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Primary data is data collected directly by the researcher for a specific purpose.
Primary data is original and first-hand information gathered through methods like surveys, interviews, experiments, or observations. For example, if you conduct a survey in your school to find out students' favourite subjects, the responses you collect are primary data. This type of data is unique to your research and hasn't been previously published or analysed by others.
One of the main advantages of primary data is its relevance and specificity. Since you collect it yourself, you can tailor the questions and methods to suit your exact needs. This ensures that the data is directly applicable to the research question you are trying to answer. For instance, if you want to know how many hours students spend on homework each week, you can design a survey that asks precisely that.
However, collecting primary data can be time-consuming and sometimes expensive. You need to plan your data collection carefully, decide on the best method, and often spend a lot of time gathering and analysing the information. Despite these challenges, primary data is invaluable because it provides the most accurate and up-to-date information for your specific research needs.
In summary, primary data is crucial for conducting precise and relevant research, especially when you need specific information that isn't available from existing sources.
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