In her study, what might Dr. Kamran's scale reveal if it detects a significant difference between groups?

If Dr. Kamran's scale detects a significant difference between groups, it suggests that the scale effectively captures different attitudes among those groups. This means the scale is measuring what it is intended to measure—in this case, the specific attitudes that differentiate one group from another.

The presence of a significant difference indicates sensitivity in the scale’s ability to detect variations. It reflects that participants' responses vary meaningfully according to the underlying construct being assessed. Hence, the scale's design, questions, and scoring effectively differentiate between the groups based on their attitudes, demonstrating its constructive utility in the research context.

When interpreting the relevance of other choices, an unreliable scale would fail to produce consistent results across different occasions or samples, and the presence of significant differences would contradict this. Low validity refers to the scale's inability to measure what it purports to examine, which would also not align with finding significant differences between groups. Lastly, bias against one group would manifest through consistently skewed results that favor one group's responses over another's, which would typically not result in a significant difference being effectively captured between them.