Factors affecting data capture include the quality and reliability of the data sources, the methods and tools used for data collection, and the environment in which data is gathered. Human error, technology limitations, and data privacy regulations can also impact the accuracy and completeness of the captured data. Additionally, the training and expertise of personnel involved in data collection play a crucial role in ensuring effective data capture.
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Primary data can be influenced by several factors, including the research design, data collection methods, and the characteristics of the target population. Environmental conditions, such as time and location, can also impact the quality and reliability of the data collected. Furthermore, biases introduced by the researcher or participants, as well as the clarity of questions asked, can significantly affect the accuracy and validity of primary data. Lastly, ethical considerations and the respondents' willingness to provide honest information can further shape the data outcomes.
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Direct Data Capture is data capture that came from a direct source
Direct Data Capture is data capture that came from a direct source
Direct Data Capture is data capture that came from a direct source
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