A low, non-significant correlation between an observation-based assessment of symptoms of autism and a teacher-report of ADHD symptoms provides ____________ of the validity of the autism measure
convergent evidence?
validity
A low, non-significant correlation between an observation-based assessment of symptoms of autism and a teacher-report of ADHD symptoms provides evidence against the validity of the autism measure.
The overarching concept being tested in this scenario is the validity of the autism measure. Validity refers to how accurately a measurement or assessment tool reflects the concept or construct it is intended to measure. In this case, we want to determine whether the observation-based assessment of symptoms of autism is valid.
To assess the validity of the autism measure, we need to look at the correlation between this measure and another measure that is related to the construct, such as a teacher-report of ADHD symptoms. The correlation tells us how closely related or associated the two variables are. A higher correlation indicates a stronger relationship between the variables, whereas a lower correlation indicates a weaker relationship.
In this scenario, a low, non-significant correlation suggests that there is minimal or no relationship between the observation-based assessment of symptoms of autism and the teacher-report of ADHD symptoms. This lack of correlation undermines the validity of the autism measure. It indicates that the observation-based assessment may not accurately capture the symptoms of autism as it is not consistent with another measure that is expected to have at least some relationship.
Therefore, based on the low, non-significant correlation, we can conclude that there is evidence against the validity of the autism measure in this specific context.