Why is combining data important?
- Why do we need to combine data?
- Why is it important to have multiple sources in research?
- How is data combined?
- What are the benefits of using multiple methods of data collection?
Why do we need to combine data?
We may want to combine administrative data with survey data for several reasons. Combining data can help to improve the efficiency of surveys, supplement data collected from a survey, and improve the quality of survey data.
Why is it important to have multiple sources in research?
Using a variety of sources can diminish the effects of bias—the preference of one view over another. Bias may prevent objectivity and often leads to an incomplete representation of information. If blatant bias is present in a source, compensate for it with viewpoints from other sources.
How is data combined?
Data merging is the process of combining two or more data sets into a single data set. Most often, this process is necessary when you have raw data stored in multiple files, worksheets, or data tables, that you want to analyze all in one go.
What are the benefits of using multiple methods of data collection?
Using multiple methods to study a phenomenon is proposed to produce results that are more robust and compelling than single method studies. This research note investigates the implementation of multiple methods research in marketing.
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