Which of the following must be true for data collected for NDBI?

• A. Reliable
• B. Valid
• C. Accurate
• D. All of the above

Answer: (D)

For data collected in Natural Language Acquisition and Behavior Intervention (NDBI), it is essential that the data is reliable, valid, and accurate, as these characteristics are crucial for ensuring that the findings can be trusted and used effectively to inform practice.

Reliability refers to the consistency of the data collected, meaning that if the data were to be collected again under similar conditions, the results would be similar. This is important in ensuring that interventions are evaluated correctly over time.

Validity pertains to how well the data measures what it is intended to measure. For instance, if the goal is to assess communication skills in individuals with autism, the data must indeed reflect those skills and not some other unrelated factors. This ensures that the interpretations drawn from the data are meaningful and relevant.

Accuracy relates to the precision of data collection, meaning that the data should truly represent the behaviors or skills being measured without significant error. Accuracy is crucial because it impacts the decisions made based on the data.

Therefore, all these characteristics -- reliability, validity, and accuracy -- must be present to ensure that the data is credible and useful for guiding interventions for persons with autism spectrum disorders. Thus, asserting that all of these aspects must be true for data collected for NDBI captures the comprehensive nature of