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5. RECOMMENDATION FOR TITLE I ALLOCATIONS FOR THE 1998-1999 SCHOOL YEAR
Pages 78-82

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From page 78...
... Between June and October 1997 the Census Bureau carried out an extensive set of evaluations of its model and a range of alternative models with input and review from the panel. On the basis of those evaluations, the Census Bureau made some changes to its county model and provided to the panel and the Department of Education a revised set of 1993 county estimates of poor school-age children in late October.
From page 79...
... Thorough evaluation is a critical component of any estimation approach. The evaluation of county models for estimating the number and proportion of poor school-age children pinpointed strengths and weaknesses of alternative models and identified immediate solutions for some problems.
From page 80...
... in comparison with the estimation procedures that rely more heavily on 1980 census estimates to predict poor school-age children in 1989 makes the panel confident that a modelbased approach for 1993 is preferable to using the outdated 1990 census estimates or to averaging 1990 census estimates with model-based estimates for 1993. The major changes in the distribution of children in poverty that have occurred since 1989 make heavy reliance on 1990 census estimates for current allocations highly problematic.
From page 81...
... The original 1993 estimates for Puerto Rico, which were averaged with 1990 census estimates for Title I allocations for the 1997-1998 school year, have not been revised. The panel concluded in its first interim report that the approach adopted by the Census Bureau for producing 1993 estimates of poor school-age children in Puerto Rico seems a reasonable one given the data available, although there is limited information about the quality of the data (see National Research Council, 1997:App.
From page 82...
... Further investigation should be carried out of the quality of the estimates, and their comparability with the model-based estimates for U.S. counties, to determine if there are ways in which the data and estimation procedures for Puerto Rico can be improved.


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