Problem
A test of validity is an important in assessing the both the strengths and weaknesses of an inference. Casual inferences ultimately build towards a more substantive conclusion when conducting research. It is important that these inference's validity is tested to maintain integrity throughout the process of drawing a proper conclusion.
Statistical conclusion validity is concerned with the data collected and if that data is substantial enough to draw any conclusions about the relationship between variables. Unreliable measures or low statistical power are among some mistakes that can threaten validity and lead researchers to draw false conclusions about relationships. It's important that both the collection and analysis of statistics within a study are closely monitored for errors.