Public Management and Administration - Owen E.hughes
Public Management and Administration - Owen E.hughes
Public Management and Administration - Owen E.hughes
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implementation of large-scale government programmes by the Kennedy <strong>and</strong><br />
Johnson administrations (deLeon, 1988). The size <strong>and</strong> complexity of the 1960s<br />
social programmes led to a dem<strong>and</strong> for better analysis. Mathematical techniques<br />
deriving from R<strong>and</strong> or the United States Defense Department under<br />
Robert McNamara could conceivably be applied to the public sector. It was an<br />
age of science. It was an age in which any problem was seen as having a possible<br />
solution which could be discovered through the proper application of the<br />
scientific method. Related to the belief in solutions was the availability of<br />
large-scale computers <strong>and</strong> suitable software for processing statistical data to<br />
levels of great sophistication.<br />
The early period of policy analysis is generally regarded as a failure by being<br />
oversold, that is, by assuming that numbers alone or techniques alone can solve<br />
public policy problems. It is only from 1980 that Putt <strong>and</strong> Springer see what<br />
they term a ‘third stage’ in which policy analysis is perceived as ‘facilitating<br />
policy decisions, not displacing them’ (1989, p. 16). As they explain:<br />
Third-stage analysts decreasingly serve as producers of solutions guiding decision makers<br />
to the one best way of resolving complex policy concerns. Policy research in the third<br />
stage is not expected to produce solutions, but to provide information <strong>and</strong> analysis at multiple<br />
points in a complex web of interconnected decisions which shape public policy.<br />
Policy research does not operate separated <strong>and</strong> aloof from decision makers; it permeates<br />
the policy process itself.<br />
Instead of providing an answer by themselves, empirical methods were to be<br />
used to aid decision-making. While few of the early policy analysts saw themselves<br />
as decision-makers (though it was a charge levelled against them) that<br />
was the extent of the analyses used. Third-stage policy analysis is supposed to<br />
be a supplement to the political process <strong>and</strong> not a replacement of it. Analysis<br />
assists in the mounting of arguments <strong>and</strong> is used by the different sides in a particular<br />
debate. All participants in the policy process use statistics as ammunition<br />
to reinforce their arguments. The collection of data has greatly improved<br />
<strong>and</strong> the ways of processing numbers are better than before. However, whether<br />
or not third-stage policy analysis is so different from early policy analysis will<br />
be considered later.<br />
Empirical methods<br />
<strong>Public</strong> Policy <strong>and</strong> Policy Analysis 117<br />
Much has been said in passing of the empirical methods <strong>and</strong> skills needed by<br />
policy analysis <strong>and</strong> policy analysts. In one view, two sets of skills are needed.<br />
First, ‘scientific skills’ which have three categories: information-structuring<br />
skills which ‘sharpen the analyst’s ability to clarify policy-related ideas <strong>and</strong> to<br />
examine their correspondence to real world events’; information-collection<br />
skills which ‘provide the analyst with approaches <strong>and</strong> tools for making accurate<br />
observations of persons, objects, or events’; <strong>and</strong> information-analysis skills<br />
which ‘guide the analyst in drawing conclusions from empirical evidence’