Gram Sevak 3200 MCQ Demo Copy PDF File

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Gram Sevak 3200 MCQ 

Demo Copy PDF File 

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You can see Gram Sevak 3200 MCQ Demo Copy PDF File . In many states, the problems of developing UI-based data have been so substantial that more precise analyses have not yet been possible. 



In other cases, political issuesthe power of local control, for example, or the dislike by legislators of complex analyseshave prevented more sophisticated analyses. But as states move to use these data in more substantial ways, for accountability and performance-based funding, the problems created by overly simple analysis are likely to generate local opposition from colleges who can rightly claim that state figures misstate their local experiences. 

We might anticipate, then, that political pressures will force states into more sophisticated analyses. A number of other states are in the process of developing data systems based on UI wage records. 

Many states are aware of the progress made in other states (particularly Florida and Texas), and the field guide by the directors of efforts in these two states (Anderberg & Pfeiffer, 1998) provides guidance to states wanting to take this path. The pressures for accountability from the state level continue to mount, as well as from the federal level. The 1998 amendments to federal legislation for vocational education and the Workforce Investment Act both require performance measures including placement and wage rates, measures that are readily calculated when a state has UI-based data but that are difficult and expensive without one. 

We might anticipate, therefore, that more and more states would develop UI-based data, as a way of responding to pressures for accountability. As states continue to develop their data systems and analyses, the purposes of such results are likely to expand as well. Currently, the results are being used, it appears, to examine the economic value of community colleges and other postsecondary programs, and to develop accountability measures. 

In a few states, these data have been used to identify problem areasprograms with low completion rates, low placement rates, or low earnings, for exampleand then to rethink state policy; Washington, which has begun to emphasize completion and identification of higher-wage programs for welfare recipients, provides a good example. The value of these data in providing information to prospective studentsis now being explored, particularly as one-stop centers expand.

Gram Sevak 3200 MCQ Demo Copy PDF File 



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