Research questions that effectively measure what is intended are referred to as?

The term that best describes research questions that effectively measure what they are intended to is "valid." Validity in research refers to the accuracy and appropriateness of the measurements used to collect data. When a research question is valid, it successfully captures the concept it aims to measure, ensuring that the findings accurately reflect the real-world situation or phenomena being studied.

Validity can be broken down into several types, such as content validity, construct validity, and criterion-related validity, each addressing different aspects of what it means for a measurement to accurately represent the intended construct. For example, if a research question intends to measure psychological well-being, a valid measurement tool would directly assess relevant indicators of well-being rather than unrelated factors.

In contrast, while reliability refers to the consistency of a measure across time and different contexts, and quantitative focuses on numerical data representation, comprehensiveness relates to the breadth of coverage in addressing a topic. These terms do not specifically capture the essence of a question's capacity to accurately measure what is intended, which is why "valid" is the correct term in this context.