What is defined as selecting a higher percentage from a particular group than expected?

The concept being described relates to the practice of selecting a higher percentage from a specific group than is generally expected or normative. This definition aligns with the notion of over selection. Over selection typically refers to the situation where more individuals or cases from a particular subgroup are chosen for a study or analysis than would be proportionate to their presence in the population. This can occur in various contexts, such as sampling in research, where researchers may intentionally or unintentionally select more participants from a certain demographic group to meet a specific criterion or to ensure representation of minority groups.

The term captures the essence of skewing the representation, leading to potential issues in generalizability or bias in the results. In research, over selection can influence the outcomes significantly and can compromise the validity of the study if not accounted for properly. Understanding this concept is crucial for psychometricians and researchers as it impacts the integrity and applicability of findings derived from such samples.