2 resultados para Spectrum Bias
em Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States
Resumo:
The increasing incidence of children identified and diagnosed with Autism Spectrum Disorders (ASD) and other developmental disabilities (DD) poses a major challenge to Title V and other programs as they try to meet the diverse and sometimes complex needs of these children. However, those state that have initiated coordinated efforts to meet the needs of these children cross systems have had the opportunity to form and/or strengthen relationships with new partners. In addition, these coordinated efforts will allow states to develop new policies, programs and financing mechanisms addressing the health of children with ASD, which may also strengthen the system of care for all Children and Youth with Special Health Care Needs.
Resumo:
As the list of states adopting the HWTD continues to grow, there is a need to evaluate how results are utilized. AASHTO T 324 does not standardize the analysis and reporting of test results. Furthermore, processing and reporting of the results among manufacturers is not uniform. This is partly due to the variation among agency reporting requirements. Some include only the midpoint rut depth, while others include the average across the entire length of the wheel track. To eliminate bias in reporting, statistical analysis was performed on over 150 test runs on gyratory specimens. Measurement location was found to be a source of significant variation in the HWTD. This is likely due to the nonuniform wheel speed across the specimen, geometry of the specimen, and air void profile. Eliminating this source of bias when reporting results is feasible though is dependent upon the average rut depth at the final pass. When reporting rut depth at the final pass, it is suggested for poor performing samples to average measurement locations near the interface of the adjoining gyratory specimens. This is necessary due to the wheel lipping on the mold. For all other samples it is reasonable to only eliminate the 3 locations furthest from the gear house. For multi‐wheel units, wheel side was also found to be significant for poor and good performing samples. After eliminating the suggested measurements from the analysis, the wheel was no longer a significant source of variation.