Day 1 - Monday

• Pre-Course Self-Evaluation of Project Planning & Evaluation Knowledge/Skills
• Administrative Arrangements & Introductions
• Course Overview:
  • Objectives of and Approaches to
  • Program and Project Evaluation
    • Before/After
    • With/Without
    • Significant Difference
  • Census vs. Sample approach

Break

• Rapid Review of Evaluation Designs:
  • Experimental
  • Quasi-Experimental
  • Case Studies

Lunch

• Rapid Review of basic systematic techniques for Designing, Monitoring and Evaluating Project Performance:
  • The Logical Framework
  • Critical Path
  • Earned Value Analysis

  Break
  
  

• Basic Concepts, Terminology, & Definitions for analyzing performance data

Break

• The Standard Deviation - Key Statistical Concept for measuring performance

Day 2 - Tuesday

• Approaches to Performance Measurement & Evaluation - Estimated Standard Deviation
• Practical Techniques for Measuring Results - The Thai Scale

Break

• Census vs. Sampling Concepts - Practical Exercise
• Census vs. Sampling Criteria
  • Variability
  • Tolerable Error
  • Confidence Level

Lunch

• Determining Appropriate Sample Sizes - for Percentage, and Mean Results
• Techniques to Select Appropriate Samples:
  • Skip Interval
  • Random Number Tables
  • Deck of Cards
  • Lottery

  Break
  
  

• Evaluation Teams
• Data Collection Approaches: mail, phone, observation, interview, rapid appraisal (individual & focus groups)

Break

• Rapid Review of
  • Questionnaire Design
  • Interviewing Techniques

Day 3 - Wednesday

• Data Analysis Techniques: Quantitative & Qualitative Recording, Editing, Classification range & rank ordering, Weighting/Scoring, Likert, percentage, 10 point, Thai 5 point, 4 point, quartile, etc.

Break

• Correlation & Regression
• Significance Testing
• Necessity & Sufficiency Testing - Yule’s “Q"

Lunch

• Non-Random Sampling - Batch Quality Acceptance Sampling (BQAS)

  Break
  
  

• A Rapid Qualitative Approach for Reviewing and Evaluating Program & Project Performance [AusAID]

Break

• Data Presentation Tools — Reports, Charts & Graphs
• Post-Course Self-Evaluation of Planning & Evaluation Knowledge/Skills
• Participant Evaluation of Course