Wise's simulation under continuous learning recommended projection-based weighted averages for aggregating interim scores¶

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Under a continuous-learning growth pattern, Wise recommended weighted averages with weights based on projection models predicting summative scores, reportedly proportional to instructional time. → Garron Gianopulos 2019

Evidence¶

Garron Gianopulos 2019¶

Garron Gianopulos. (2019). From Through-Course Summative to Adaptive Through-Year Models for Large-scale Assessment: A Literature Review. NWEA. https://www.nwea.org/research/publication/from-through-course-summative-to-adaptive-through-year-models-for-large-scale-assessment-a-literature-review/

q2 · i? · review · r2

Simulation study under the Continuous Learning Model comparing simple averages, weighted averages, and maximum scores. Wise "recommended weighted averages, where the weights were based on projection models that predicted summative scores"; per Dadey et al. (2017), weights were 0.10, 0.20, 0.30, and 0.40 across the four interims.

"Based on the results of a simulation study under the Continuous Learning Model, Wise (2011) recommended weighted averages, where the weights were based on projection models that predicted summative scores. He reported that the weights were proportional to instructional time."

Discussion¶

Related Claims¶

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