Search
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse Sessions by Descriptor
Browse Papers by Descriptor
Browse Sessions by Research Method
Browse Papers by Research Method
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Change Preferences / Time Zone
Sign In
X (Twitter)
We address two persistent validation challenges in large-scale assessments: a) how to construct an interpretive validity argument in a practical setting, and b) how to structure claims for assessments of large and/or complex domains. We illustrate the challenges, procedures, and solutions using the case of a state assessment of the Next Generation Science Standards. These standards pose the challenge of specifying claims about students that evidence from summative assessments can support, with current claims lacking empirical support. As a solution, we propose tiered claims, which explicitly distinguish between claims for which tests provide direct evidence and those that rely on generalization or extrapolation from observed performance. This claim structure has many positive implications for test construction and validation.