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Pages 1-4

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From page 1...
... to allocate funds based on the data that will yield the most accurate, up-to-date numbers, and further directs the secretary to choose the more accurate source of data between the two allowable data sources: the number of students assessed for English proficiency as reported to the federal government by each state education agency or data from the American Community Survey (ACS)
From page 2...
... DESIRABLE CHARACTERISTICS FOR TITLE III ALLOCATION FORMULA DATA The panel developed a set of criteria for evaluating which of the allowable data sources the department should use for allocating federal Title III funds: conceptual fit, level of geographic fit, timeliness, quality, cost, fairness, stability, insensitivity to policy and methodological differences, transparency, and comparability. Conceptual Fit.
From page 3...
... In sum, the panel concludes that the ACS data are slightly better on some characteristics, while the state-provided data have advantages on others, which is not reflected in the current formula. RECOMMENDATIONS Data Sources for Title III Allocation Formula RECOMMENDATION 1 As soon as technically possible, the U.S.
From page 4...
... Weighting of Data Sources RECOMMENDATION 5 When the quality and cross-state comparabil ity of state-provided data have reached an acceptable standard, the weight given to the state-provided counts should be adjusted upward to the point at which the American Community Survey estimates and the state-provided counts contribute equally to the 80 percent portion of the allocation for mula. State-provided counts should continue to be based on the number of students who are determined not to be English proficient on the basis of the state's English language proficiency test, in a way that is comparable across states.


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