Eight steps for evaluation planning

Eight steps for evaluation planning Step 1: Create specific evaluation questions for your program under each of the five standard evaluation criteria: relevance, effectiveness, efficiency, impact and sustainability.

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evaluation questions to address evaluation criteria

Evaluations use specific evaluation questions to address each  of the standard evaluation criteria The five evaluation criteria, referenced in the CRS Global standard on evaluation, are relevance, effectiveness,

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Planning and Conducting an Evaluation

Standards for planning and conducting an evaluation: 1.  Evaluations use specific evaluation questions to address each of the standard evaluation criteria. 2. Project team members, partner staff, community

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M&E system reflection questions

M&E system reflection questions Do you have all of the information and results required to make projectrelated decisions and track project progress? If not, how can you adjust

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Common project progress reflection questions

Examples of monitoring data questions: What have been the problems, if any, with project implementation? What havebeen the successes, if any, with project implementation? What are the reasons

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M&E staff and stakeholders reflect on the appropriateness of the M&E system

In addition to the more frequent review and discussion of the data results, set aside time to reflect on the appropriateness of the M&E system. It is not

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M&E systems include a plan for reflection events

Scheduling reflection events allows CRS and project staff to better plan for data use and is a step toward the integration of data use and reflection with the

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Steps for interpreting data

1.  Review the summary report(s) with field staff and data collectors and other key stakeholders. Hold a workshop or meeting and allow adequate time to interpret these results.

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Steps for analysis of qualitative data

Qualitative data analysis will provide more in-depth understanding of the key study questions and of your quantitative findings. Analyze qualitative data with field staff, data collectors and relevant

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Steps for analyzing quantitative data

1.  Run descriptive statistics. Descriptive statistics include frequencies, percentages, median and mean values. Frequencies and percentages For noncoded responses (e.g., value in local currency for monthly income or

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