Title: PPA 691
1PPA 691 Seminar in Public Policy Analysis
- Lectures 34 Problem Structuring
2Nature of Policy Problems
- Problem structuring, which is a continuously
recurring phase of policy inquiry in which
analysts search among competing problem
formulations of different stakeholders, is no
doubt the most important activity performed by
policy analysts. - It is so important because policy analysts seem
to fail more often because they solve the wrong
problem than because they get the wrong solution
to the right problem.
3Nature of Policy Problems
- Beyond problem solving.
- Policy analysis is a dynamic, multilevel process
in which methods of problem structuring take
priority over methods of problem solving (see
figure).
4Priority of Problem Structuring in Policy Analysis
5Nature of Policy Problems
- Beyond problem solving.
- Distinctions among problem-related processes.
- Problem sensing versus problem structuring.
- Problem structuring versus problem solving.
- Problem resolving versus problem unsolving and
problem dissolving. - Characteristics of problems.
- Interdependence of policy problems (policy
messes). - Analytic versus holistic approaches.
- Subjectivity of policy problems.
- Artificiality of policy problems.
- Dynamics of policy problems.
6Nature of Policy Problems
- Characteristics of problems (contd.)
- In short, systems of problems (messes) cannot be
decomposed into independent subsets without
running the risk of producing the right solution
to the wrong problem. - The whole is greater (qualitatively different)
than the sum of its parts. - A recognition of the interdependence,
subjectivity, artificiality, and dynamics of
policy problems alerts us to the possible
unanticipated consequences that may follow from
policies based on the right solution to the wrong
problem.
7Nature of Policy Problems
- Problems versus issues.
- If policy problems are really systems of
problems, then policy issues are equally complex. - Policy issues reflect not only conflict over
courses of actions, but over definitions of the
problem.
8Nature of Policy Problems
9Nature of Policy Problems
- Problems versus issues.
- Major issues.
- Those encountered at highest levels of government
within and between federal, state, and local
jurisdictions. - Involve questions of agency mission.
- Secondary issues.
- Located at the level of agency programs at the
federal, state, and local levels. - The setting of program priorities and the
definition of target groups and beneficiaries.
10Nature of Policy Problems
- Problems versus issues.
- Functional issues.
- Located at both the program and project levels.
- Involve questions of budget, finance, and
procurement. - Minor issues.
- Located at the level of specific projects.
- Involve questions of personnel, staffing,
employee benefits, vacation times, working hours,
and standard operating procedures.
11Nature of Policy Problems
- Problems versus issues.
- Strategic policies are policies where the
consequences are relatively irreversible. - Operational polices are policies where the
consequences are relatively reversible.
12Nature of Policy Problems
- Three classes of policy problems.
- Well-structured.
- Prototype completely computerized decision
problems. - Moderately structured.
- Prototype prisoners dilemma.
- Ill-structured.
- Prototype most important problems.
13Nature of Policy Problems
ELEMENT STRUCTURE OF PROBLEM STRUCTURE OF PROBLEM STRUCTURE OF PROBLEM
ELEMENT Well structured Moderately Structured Ill Structured
Decision maker(s) One or few One or few Many
Alternatives Limited Limited Unlimited
Utilities (values) Consensus Consensus Conflict
Outcomes Certainty or risk Uncertainty Unknown
Probabilities Calculable Incalculable Incalculable
14Problem Structuring in Policy Analysis
- The requirements for solving ill-structured
problems demand that the analyst take an active
role in defining the problem.
15Problem Structuring in Policy Analysis
- Creativity in problem structuring.
- The product of the analysis is sufficiently novel
that most people could not or would not have
arrived at the same solution - The process of analysis is sufficiently
unconventional that it involves the modification
or rejection of previous accepted ideas - The process of analysis requires sufficiently
high motivation and persistence that analysis
takes place with high intensity or over long
periods of time
16Problem Structuring in Policy Analysis
- Creativity in problem structuring (contd.).
- The product of analysis is regarded as valuable
by analysts, policymakers, and other
stakeholders, since it provides an appropriate
solution to the problem And. - The problem initially posed is so ambiguous,
value, and ill defined that part of the task is
to formulate the problem itself.
17Problem Structuring in Policy Analysis
- Phases of problem structuring.
- Problem search.
- Problem definition.
- Problem specification.
- Problem sensing.
18Problem Structuring in Policy Analysis
19Problem Structuring in Policy Analysis
- Errors of the third type (EIII).
- How well do the substantive and formal problems
correspond to the original problem situation? - If most problem situations are messes, then
models should reflect complexity. - Types of errors.
- Type I rejecting the null hypothesis when it is
true. - Type II accepting the null hypothesis when it
is false. - Type III solving the wrong problem.
20Types of Policy Models
- Policy models are simplified representations of
selected aspects of a problem situation
constructed for specific purposes. - By definition, they are artificial constructs.
- Descriptive models.
- The purpose of descriptive models is to explain
and/or predict the causes and consequences of
policy choices. - Used to monitor the outcomes of policy actions
and to forecast performance.
21Types of Policy Models
- Normative models.
- Explain and predict, but also to provide rules
and recommendations for optimizing some utility
or value. - Example compound interest.
22Forms of Policy Models
- Verbal models.
- Expressed in everyday language.
- The equivalent of substantive problems.
- Limitation the reasons for recommendations and
predictions may be hidden. - Symbolic models.
- Use mathematical symbols to describe
relationships among key variables believed to
characterize a problem. The premises must be
made explicit.
23Forms of Policy Models
24Forms of Policy Models
- Procedural models.
- Represent dynamic relationships among variables
believed to characterize a policy problem. - Example
- Decision tree.
25Methods of Problem Structuring
- Boundary analysis (used to estimate boundaries of
metaproblem). - Saturation sampling.
- Elicitation of problem representations.
- Boundary estimation.
- Classificational analysis.
- Uses logical division and logical classification.
- Criteria.
- Substantive relevance.
- Exhaustiveness.
- Disjointness.
- Consistency.
- Hierarchical distinctiveness.
26Methods of Problem Structuring
- Hierarchy analysis.
- Possible clauses, plausible causes, and
actionable causes. - Uses same rules as classificational analysis.
- Synectics.
- Personal analogies.
- Direct analogies.
- Symbolic analogies.
- Fantasy analogies.
27Methods of Problem Structuring
- Brainstorming.
- Groups should be composed of knowledgeable
subjects. - Idea generation and idea evaluation should be
kept separate. - Atmosphere should be open and permissive.
- Idea-evaluating should only begin after
idea-generating has ceased. - At the end of idea-evaluating, ideas should be
prioritized and incorporated into a proposal that
contains a conceptualization of the problem and
its potential solutions.
28Methods of Problem Structuring
- Multiple perspective analysis.
- Technical perspective.
- Organizational perspective.
- Personal perspective.
- Assumptional analysis.
- Stakeholder identification.
- Assumption surfacing.
- Assumption challenging.
- Assumption pooling.
- Assumption synthesis.
29Methods of Problem Structuring
- Argumentation mapping.
- Assessing probability and plausibility of policy
argument warrants.