Evaluation results can fail to detect the positive outcomes of an effective program when
A) Type I errors are large.
B) the measures or observation procedures used are not reliable.
C) the staff goes to extra effort during the data collection period.
D) evaluators overlook negative side effects.

Question

Quizplus · Accepted Answer

If the measures or observation procedures used are not reliable, then the evaluation results may not accurately reflect the positive outcomes of an effective program. This can lead to a failure to detect these positive outcomes, even if they exist. Type I errors being large may lead to falsely identifying positive outcomes that do not actually exist. Staff going to extra effort during the data collection period may lead to more accurate data, but it does not address issues of reliability. Evaluators overlooking negative side effects would not impact their ability to detect positive outcomes, but it could impact their ability to make accurate overall assessments of the program.

Evaluation Results Can Fail to Detect the Positive Outcomes of an Effective