- Details
- Category: Policy, Projects & Programmes
- Published: Tuesday, 27 May 2014 11:38
- Written by: Matt Pye - HWD
Overview
Day One
Policy Evaluations – What Are They and Why Do We Need Them
- What do participants understand by policy evaluation?
- What is evaluation and why is it essential?
- Policy evaluation and evidence-based policy
- What factors affect how a policy should be evaluated?
- Evaluation as part of the policy cycle
- The Magenta Book
Types of Evidence - Establishing a Theory of Change
- Activities, Outputs, Outcomes
- Sequencing a logic model – building a causal chain
- Data required for a theory of change
- Case Study
Types of Evidence – Systematic Reviews and Meta-Analysis
- Harnessing what is already known
- Different types of research synthesis
- The structure of a systematic review
- Examples of Statistical Meta-Analysis for Policy Making
- Sources of sound evidence from systematic reviews
Types of Evidence for Policy Evaluation – Surveys, Census Data and Administrative Data
- Using existing survey data
- Collecting survey data Using census data
- The use of administrative data
- Risk of bias with surveys, census data and administrative data
Types of Evidence for Policy Evaluation – Qualitative Methods and Data
- In-Depth interviews
- Group interviews and focus groups
- Other consultative methods
- Observational and Participant –Observation methods
- Ethnography
- Case Studies
- Quality of Qualitative Evaluation
- The contribution of qualitative data to policy making
Establishing a Strong Counterfactual
- The importance of the counterfactual for policy making
- Identifying policy options
- Establishing the net effect of a policy
Types of Evidence for Policy Evaluation – Interrupted Time Series Analysis
- The logic of Interrupted Time Series Analysis
- Examples of Interrupted Time Series Analysis
- Risk of bias with Interrupted Time Series Analysis
- Examples of Interrupted Time Series Analysis in policy evaluation
Day Two
Types of Evidence for Policy Evaluation – Single Group Before and After Designs
- The logic of a single group before and after design
- Examples of a single group before and after design
- Risk of bias with a single group before and after design
Types of Evidence for Policy Evaluation – Matched Comparison Designs
- The principles of matching
- Propensity Score Matching
- Examples of Propensity Score Matching for policy making
- Risk of bias with Propensity Score Matching
Types of Evidence for Policy Evaluation – Difference-in-Difference Analysis
- Single difference and double difference
- Risk of bias with difference-in-difference analysis
- Examples of difference-in-difference analysis in policy making
Types of Evidence for Policy Evaluation – Regression Discontinuity Design
- The logic of regression discontinuity design
- Examples of regression discontinuity design in policy making
- Risk of bias with regression discontinuity design
Types of Evidence for Policy Evaluation - Randomised Controlled Trials
- How RCTs establish a strong counterfactual
- Risk of bias with RCTs
- Examples of RCTs in policy making
Types of Evidence for Policy Evaluation – Implementation Evaluation
- Delivery Trajectories
- Developing a Delivery Plan
- Undertaking a Priority Review
Types of Evidence for Policy Evaluation – Economic Appraisal
- The Green Book
- Cost-Benefit, Cost-Effectiveness and Cost-Utility Analysis
- Monetising cost and benefits
- Establishing New Present Value and Equivalent Annual Net Cost to Business
Presenting Evaluation Evidence
- The 1:3:25 format
- Writing clearly in non-technical language
- The Title
- Key messages for policy makers (one page)
- Executive Summary (three pages)
- Policy background and context
- Problem description
- Policy options
- Implementation and delivery issues
- Resource implications
- Conclusions and recommendations

