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PROGRAM EVALUATION#1
A systematic method to assess the design, implementation, and outcomes of a program to determine its effectiveness.
IMPACT ASSESSMENT#2
The process of evaluating the changes that can be attributed to a program, including intended and unintended effects.
STAKEHOLDER COMMUNICATION#3
The practice of sharing information and findings with individuals or groups invested in a program's success.
DATA INTERPRETATION#4
The process of making sense of collected data to draw conclusions and inform decision-making.
LOGIC MODEL#5
A visual representation linking a program's resources, activities, outputs, and outcomes to illustrate how it achieves its goals.
QUANTITATIVE DATA#6
Numerical data that can be measured and analyzed statistically to identify patterns and trends.
QUALITATIVE DATA#7
Descriptive data that provides insights into motivations, opinions, and experiences, often collected through interviews or open-ended surveys.
SURVEY DESIGN#8
The process of creating questionnaires to gather information effectively from participants.
DESCRIPTIVE STATISTICS#9
Statistical methods that summarize and describe the main features of a dataset, such as mean and median.
INFERENTIAL STATISTICS#10
Techniques that allow conclusions to be drawn about a population based on a sample, including hypothesis testing.
DATA COLLECTION STRATEGY#11
A plan outlining how data will be gathered, including methods, tools, and timelines.
STAKEHOLDER ENGAGEMENT#12
The process of involving stakeholders in the evaluation process to gather insights and foster collaboration.
VISUALIZATION TECHNIQUES#13
Methods for presenting data graphically to enhance understanding and communication of findings.
EVALUATION FRAMEWORKS#14
Structured approaches that guide the evaluation process, including models and theories.
ETHICAL CONSIDERATIONS#15
Guidelines ensuring the protection of participants' rights and well-being during data collection.
PROGRAM IMPROVEMENT#16
The process of using evaluation findings to make informed changes and enhance program effectiveness.
DATA DRIVEN INSIGHTS#17
Conclusions and recommendations derived from thorough data analysis to inform decision-making.
FEEDBACK INTEGRATION#18
The practice of incorporating stakeholder feedback into the evaluation process to improve outcomes.
PRESENTATION TECHNIQUES#19
Skills and strategies for effectively communicating findings to diverse audiences.
ACTIONABLE RECOMMENDATIONS#20
Practical suggestions derived from evaluation findings that organizations can implement to improve programs.
ROADMAP FOR IMPLEMENTATION#21
A strategic plan outlining steps and timelines for applying evaluation recommendations.
COMPREHENSIVE EVALUATION PLAN#22
A detailed document that outlines the evaluation's objectives, methods, and expected outcomes.
CASE STUDIES#23
In-depth examinations of specific non-profit programs used to illustrate evaluation techniques and outcomes.
DATA ANALYSIS SOFTWARE#24
Tools like R or SPSS used for statistical analysis and data visualization.
PROGRAM OUTCOMES#25
The measurable changes or results that occur as a direct result of program activities.
CULTURE OF CONTINUOUS IMPROVEMENT#26
An organizational mindset focused on ongoing evaluation and enhancement of programs based on data insights.