Final answer:
A statistically significant result may or may not be substantive. Statistical significance is a measure of how likely an observed result would occur by chance alone, given a specific level of significance.
Step-by-step explanation:
A statistically significant result may or may not be substantive. It is important to understand that statistical significance does not necessarily imply practical or real-world importance. Statistical significance is a measure of how likely an observed result would occur by chance alone, given a specific level of significance.
For example, if a study finds a statistically significant difference in test scores between two groups, it means that the difference is unlikely to be due to random chance. However, it does not tell us how large or meaningful that difference is in practical terms.
Therefore, it is crucial to consider both statistical significance and practical significance when interpreting research findings.