Criterion-related validation is the empirical relationship between a predictor and a criterion. Validation will show an organization how well their selection system is able to predict future job performance.
In essence, the stronger the relationship between the assessment and performance the more likely your selection system will predict successful employees.
But standards and performance expectations, even as explicated in the NGSS, do not provide the kind of detailed information that is needed to create an assessment.
The design of valid and reliable science assessments hinges on multiple elements that include but are not restricted to what is articulated in disciplinary frameworks and standards (National Research Council, 2001; Mislevy and Haertel, 2006).
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In the end, the validation process focuses on the interpretation of the assessment results for making accountability decisions.If you’re just getting started with employee assessments, you might have heard the term validation being used when discussing selection systems.In the context of organizations and their use of assessments in the hiring process we are often referring to criterion-related validation.For example, in the design of assessment items and tasks related to the NGSS performance expectations, one needs to consider (1) the kinds of conceptual models and evidence that are expected of students; (2) grade-level-appropriate contexts for assessing the performance expectations; (3) essential and optional task design features (e.g., computer-based simulations, computer-based animations, paper-pencil writing and drawing) for eliciting students’ ideas about the performance expectation; and (4) the types of evidence that will reveal levels of students’ understandings and skills.Two prior National Research Council reports have addressed assessment design in depth and offer useful guidance.