The ethical practice in grant writing

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The ethical practice in grant writing is to establish a firm understanding of the problem
and potential solutions, and to communicate that in a clear and concise manner. Creating a
logic model for your project will help you accomplish this clean, concise communication
tool. Our logic model will begin with identifying the problem in a clear statement.
Once you have identified the problem and completed the problem statement, use the
Logic Model Template [DOCX] linked in the Resources to do the following:
1. Identify two root causes leading to the identified problem.
2. Support each root cause with 2 data sources. The data should legitimize the
root cause and its connection to the problem.
3. Describe 2 local conditions that align to each of the data sources identified (4
sources total).
4. Support each local condition with a data source (existing or potential). The data
should legitimize the local condition and its connection to the root cause.
5. Identify 2 strategies to address each of the local conditions identified in step 3.
6. Finally, for each strategy identified above, create a measurable outcome. This
outcome should increase or decrease by some percentage for each year of the
grant.

 

Sample Solution

Understanding the Task and Logic Model Development

Task: Create a logic model to identify a problem, its root causes, local conditions, and potential strategies to address the issue.

Logic Model Components:

  • Problem Statement: Clearly defined problem
  • Root Causes: Two underlying factors contributing to the problem
  • Data Sources: Evidence supporting root causes and local conditions
  • Local Conditions: Factors within the community influencing the problem
  • Strategies: Actions to address local conditions
  • Outcomes: Measurable goals for each strategy

Example Logic Model: Youth Unemployment

Problem Statement: High youth unemployment rates in urban areas leading to increased crime and poverty.

Note: This is a general example. To create a more effective logic model, replace it with a specific problem relevant to your target community.

Logic Model Table

Component Description Data Source Local Condition Data Source Strategy Measurable Outcome
Root Cause 1 Lack of education and job skills Unemployment rates by education level, high school dropout rates Inadequate educational resources School district data on resource allocation Implement vocational training programs Increase employment rate among program graduates by 20% annually
Root Cause 2 Limited job opportunities Job vacancy rates, industry reports Economic downturn, lack of local businesses Economic development data Support small business growth and development Increase the number of local businesses hiring youth by 15% annually

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Explanation

  • Root Cause 1: Lack of education and job skills contributes to youth unemployment.
    • Data Source: Unemployment rates by education level and high school dropout rates support this claim.
    • Local Condition: Inadequate educational resources within the community exacerbate the issue.
    • Data Source: School district data on resource allocation confirms the lack of resources.
    • Strategy: Implementing vocational training programs addresses the skills gap.
    • Outcome: Increasing employment rate among program graduates by 20% annually measures the program’s effectiveness.
  • Root Cause 2: Limited job opportunities contribute to youth unemployment.
    • Data Source: Job vacancy rates and industry reports indicate a shortage of jobs.
    • Local Condition: Economic downturn and lack of local businesses hinder job creation.
    • Data Source: Economic development data reflects the economic situation.
    • Strategy: Supporting small business growth and development creates job opportunities.
    • Outcome: Increasing the number of local businesses hiring youth by 15% annually measures the program’s impact.

Note: This is a simplified example. A comprehensive logic model would include additional root causes, local conditions, strategies, and outcomes. It’s essential to tailor the model to the specific problem you’re addressing and to use accurate, reliable data sources.

 

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