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Data applications, data collection, ____, and data analysis are the four domains of data quality management.

User MiniHessel
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Final answer:

The missing term is 'data reporting,' critical for ensuring that quantitative data collected through various means is well-organized and analyzed to yield scientifically valid results.

Step-by-step explanation:

The missing term in the statement 'Data applications, data collection, ____, and data analysis are the four domains of data quality management' is data reporting. Collecting quantitative data through methods such as in-depth interviews, focus groups, or analysis of content sources is essential in assuring the quality of data.

Good data collection methods ensure that the data analysis can lead to scientifically valid outcomes. It's important to understand the difference between types of data: qualitative, quantitative continuous, or quantitative discrete.

These types of data are identified based on their attributes and are often collected via surveys or questionnaires. Sound data management practices encompass the ability to effectively gather, organize, synthesize, and report data, ensuring its integrity for decision-making and analysis.

User Rogelio Em
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