现代
发表于 2025-3-25 04:46:21
Steven Lawrence Fernandes,Sumit Kumar Jha touches on the quest for predictability under conditions of uncertainty. It builds on the view that observations are theory-laden (or organization-laden) in order to help us draw implications for a theory of learning. If uncertainty is the source of predictable behavior — the application of strict
共同确定为确
发表于 2025-3-25 07:49:54
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uveitis
发表于 2025-3-25 13:27:59
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vitreous-humor
发表于 2025-3-25 17:26:10
Lecture Notes in Computer Sciencetation determines the tangible gains and losses of the parties involved. At the same time, “implementation is a first opportunity to validate various options or alternatives against reality” (Brewer and deLeon, 1983, p. 256); this is where policy hypotheses are tested. Desires face reality. Conjectu
ingenue
发表于 2025-3-25 23:37:39
Lecture Notes in Computer Sciencenally put to Intervention programs onto evaluation’s own “results”, we tend to receive the same “no demonstrable effect” answer. This chapter focuses not on what decision-makers do with evaluation data, but on what evaluation does to them, and why. Decision-makers do not always show indifference tow
摸索
发表于 2025-3-26 03:47:38
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Irascible
发表于 2025-3-26 07:11:27
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浪荡子
发表于 2025-3-26 11:55:06
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countenance
发表于 2025-3-26 12:45:54
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出血
发表于 2025-3-26 18:46:36
Book 1990? Why are politicians and administrators so often hostile to research data, or why do they tend to perceive data as hostile to them? How can data become relevant to policy? These questions are the focus of this book. In answer I try to show how political and administrative institutions cope with "ho