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Signal-flow graphs offer a streamlined and intuitive approach to representing control systems, providing an alternative to traditional block diagrams. These graphs use branches to symbolize systems and nodes to represent signals, effectively illustrating the relationships and interactions within the system.
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Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
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Updated: Feb 23, 2026

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Devil is in the details: Using logic models to investigate program process.

David J Peyton1, Michael Scicchitano1

  • 1University of Florida, United States.

Evaluation and Program Planning
|September 9, 2017
PubMed
Summary
This summary is machine-generated.

Theory-based logic models, crucial for grant-funded programs, should be regularly updated. Revising these models ensures accurate program representation and effective management.

Keywords:
Logic modelPersonnel preparationProcess evaluationSpecial educationTeacher preparation

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Area of Science:

  • Program Evaluation
  • Educational Leadership
  • Social Program Management

Background:

  • Theory-based logic models are essential for communicating complex social programs.
  • Initial logic models are often static and abandoned despite program evolution.
  • Effective program management requires logic models to reflect current processes.

Purpose of the Study:

  • To examine the benefits of revising initial theory-driven logic models.
  • To demonstrate the utility of detailed, 'drill-down' logic models.
  • To improve program management through iterative model refinement.

Main Methods:

  • Utilizing a funded special education teacher preparation program as a case study.
  • Developing detailed logic models to describe key program activities.
  • Engaging in an iterative revision process for logic model development.

Main Results:

  • Revised logic models provide a more accurate reflection of program activities.
  • Detailed logic models enhance the clarity and utility of program communication.
  • Iterative revision leads to more flexible and calibrated program management.

Conclusions:

  • Regularly updating theory-based logic models is vital for effective program management.
  • Detailed logic models improve program accountability and adaptation.
  • Lessons learned from iterative revision can inform future program development and evaluation.