How does the desired end product influence the comprehensiveness of data required for your research?
The desired end product plays a significant role in determining the comprehensiveness of data required for research. This is because the specific objectives and scope of the end product will dictate the depth and breadth of data needed to fulfill those objectives.
If the desired end product is a comprehensive report or study, then a thorough analysis and understanding of the topic is necessary. This would typically require a wide range of data sources, including primary and secondary data, academic research, industry reports, statistical data, surveys, and other relevant sources. The research must delve deep into multiple dimensions to provide a well-rounded and comprehensive view.
In contrast, if the desired end product is a brief summary or an overview, the data needed may be more limited. It may be sufficient to rely on fewer sources, such as a few key articles or reports, to provide a concise and informative summary without going into extensive detail.
Ultimately, the comprehensiveness of the data required is determined by the extent to which the desired end product aims to cover the subject matter. The larger the scope and depth of the end product, the more comprehensive and diverse the data needs to be to ensure accuracy, reliability, and completeness.