Final answer:
The degree to which information includes necessary data for decision-making is referred to as completeness.
Step-by-step explanation:
The degree to which information includes data about every relevant object or event necessary to make a decision is known as completeness.
This involves ensuring that all the necessary data is present and is considered an integral part of data quality which is crucial for decision-making. Whether it's a case study, a financial report, or statistical analysis, having complete information allows for a more informed and accurate conclusion. In the context of social science research, it ensures that analyses such as content analysis and correlational studies are based on comprehensive data sets, allowing for more reliable and robust outcomes.
In terms of practical application, understanding the completeness of information helps in various areas of society, from analyzing media influences to making informed decisions in politics or business. Data completeness directly impacts the capacity to interpret information and make predictions, whether it's for political analysis or consumer behavior assessments.