Logic Model Examples
What is logic model examples?
A logic model example is a visual representation of the logical relationships between inputs, outputs, outcomes, and impacts of a program or intervention. It provides a clear and concise way to communicate how a program is intended to work and how it is expected to achieve its intended outcomes.
What are the types of logic model examples?
There are different types of logic model examples, each designed to fit different program evaluation needs and contexts. Some common types include:
Outcome Logic Models
Theory of Change Models
Program Theory Models
Results-Based Accountability Models
How to complete logic model examples
Completing a logic model example involves several key steps:
01
Identify program inputs, such as resources, funding, and staff.
02
Define program activities and processes.
03
Determine the expected outputs or short-term outcomes.
04
Specify the desired outcomes or long-term impacts.
05
Identify indicators and measures to track progress and success.
06
Review and refine the logic model based on feedback and new information.
07
Communicate the logic model to stakeholders.
By following these steps, you can create a comprehensive logic model example that effectively communicates the logic and expected outcomes of your program or intervention.
Video Tutorial How to Fill Out logic model examples
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Questions & answers
What are examples of logic models?
A logic model has the following components: Inputs: Resources dedicated to or used by your program. Examples include: funding, staff and staff time, volunteer and volunteer time, facilities, supplies, and equipment.
How do you write a logical model?
Steps Step 1: Identify the Problem. Step 2: Determine the Key Program Inputs. Step 3: Determine Key Program Outputs. Step 4: Identify Program Outcomes. Step 5: Create a Logic Model Outline. Step 6: Identify External Influencing Factors. Step 7: Identify Program Indicators.
What is the 3 main types of logical models?
What Is a Logical Data Model? Conceptual data models: defines what the system contains. Logical data models: defines how a system has to be implemented and is not specific to a database. Physical data models: how the system will be implemented to a specific database management system.
