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Fairness Issues and Test-based Educational Accountability. Katherine Ryan and Bill Trent University of Illinois at Urbana. Fairness and Bob Linn . Influential technical contributions Commitment and expertise involving assessment and accountability fairness A leader and champion. Our paper.
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Fairness Issues and Test-based Educational Accountability Katherine Ryan and Bill Trent University of Illinois at Urbana
Fairness and Bob Linn • Influential technical contributions • Commitment and expertise involving assessment and accountability fairness • A leader and champion
Our paper • Brief history of assessment fairness • Assessment fairness and test-based accountability • Assessment fairness • Models • Consequences • Information about resources, instructional practices, and organizational characteristics
Assessment Fairness and Educational Accountability Educational accountability and inequities Changes in educational testing context Implications for educational measurement practice
Educational Accountability • NCLB goals are noteworthy • Fundamental right • Educational accountability meanings • Identify inequities
High Stakes and Assessment • Shift from description and placement to accountability • Bias • Four distinct perspectives on fairness • Defining assessment fairness (Willingham and Cole)
Implications for Measurement Practice • Context • Item and test characteristics • Student responses • Population • Moderation of group differences
More Implications • Multiple Measures • Definitions • Assessment information • Non-cognitive measures • Obstacles • Costs • Traditional validity notions
OTL and Test-based Accountability • NCLB highlights differences in learning by subgroup • Fairness and OTL knowledge and skills • OTL and resources
Educational resources • Quality of education • Quality of educators • School finances
Fairness Issues and Test-based Accountability Models • Tests and measures are foundation • Accountability Models • Assessment fairness issues • Fairness issues related to rules Bob Linn’s work revealed critical fairness concerns with models (e.g., high poverty schools with large minority populations)