In evaluative research, what is meant by statistical significance and practical significance? Can you have statistical significance if you do not have practical significance? Can you have practical significance if you do not have statistical significance?
What will be an ideal response?
Ans: Statistical significance refers to whether your data can be explained by chance. If your data fail to be statistically significant, you have discovered chance rather than something meaningful. Practical significance refers to whether the amount of client gain is noteworthy, such as, having moved to a better threshold of functioning on the target behavior. You can have statistical significance without practical significance. Data, however, cannot be of practical significance unless it is of statistical significance. If your data can be explained by chance, it should not be treated as real, regardless of how impressive is the amount of gain.
Learning Objective: 13.2: Describe the mechanisms for achieving measurement accuracy, with a focus on reducing measurement error by certain tests of the reliability and validity of measurement tools.
Cognitive Domain: Comprehension
Answer Location: Determining Practical Significance With Your Measurement Method
Difficulty Level: Hard
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