Practical Evaluation I: Step by Step to Program Evaluation in the Real World
(EVALI, 4 days)


Description

This hands-on, introductory-level course is perfect for participants wanting to understand how to run an evaluation from head to toe. Using real-world case studies, participants will work through the entire evaluation process - how to scope and plan an evaluation, develop and use logic models, design and implement a methodology, collect and analyze data, draw conclusions and make recommendations.

Dates and Pricing


Jan 30 to Feb 2, 2018$1,499/person Feb 27 to Mar 2, 2018$1,499/person Mar 27 to Mar 30, 2018$1,499/person

Outline

The Overview of Evaluation
What is program evaluation?
What are the benefits of evaluation?
What is the relationship between monitoring and evaluation?
What can be evaluated?
Values and ethics: front and centre
Elements of an Evaluation Framework
Context
Program Profile
Logic Model – opening the “black box”
Evaluation Models
Evaluation Plan
Methodological Framework – rationale, data collection and analysis
Findings
Recommendations
Program Profile and Logic Models
Area/program context
Elements of a Program Profile
Understanding and developing program logic models
Identifying goals, outcomes, indicators, measures and metrics
Scoping, calibration and context
Evaluation Models
Program lifecycle and type of evaluation study
Formative, Process/Implementation, Outcome, Economic, Summative, Impact and Meta evaluations
Understanding S.M.A.R.T. outcomes and indicators
Goals based versus goals free evaluation
Developing an Evaluation Plan
Scoping the problem – ruling things in and out
Planning: timing, methodology, logistics, resources
Methodology
Budget and cost tracking tools
Implementation
Reporting
Methodological Framework
Identifying issues and formulating evaluation questions
Understanding efficiency, effectiveness, cost effectiveness, economy
Clarifying indicators
Instrument design and testing
Consent and approval
Research Design, Measurement and Metrics
Exploratory, descriptive, experimental, quasi experimental and alternative designs
Qualitative research tools and techniques
Quantitative research tools and techniques
Threats to reliability and validity
Data management and analysis
Keeping track of data, safeguarding privacy and proprietary information
Synthesizing evidence, data analysis
Identifying program effects, drawing conclusions
Developing recommendations
Reporting
Evaluation report outline
Tips for technical writing
Power of visuals
Presentation tips
Selling evaluation and performance measurement for effective program management
Resources, Community, Next Steps