Welcome

Welcome to the QuIP Lead Evaluator Online Course

Part 1: QuIP introduction & overview

1.1 Introduction

1.2 Overview of QuIP

1.3 Motivation for QuIP

1.4 Features of QuIP

1.5 Four broad approaches to evaluation

1.6 Putting QuIP into the mix

1.7 What a QuIP does not provide

1.8 Starting on your design: Framing evaluation questions

1.9 Outputs and uses

1.10 Blindfolding

1.11 What data does a QuIP provide?

1.12 More on causal mapping

1.13 Indicative timings

1.14 Example QuIP study (1) - Maziko, Malawi

1.15 Example QuIP study (2) - TTF, UK

1.16 Reflections

Part 2: Case selection and sampling

2.1 Introduction Part 2

2.2 Two nested choices

2.3 Four core principles and questions

2.4 Criteria for selection

2.5 Exercise 1a

2.6 Exercise 1a: Possible answers

2.7 Exercise 1b

2.8 Exercise 1b: Possible answers

2.10 Exercise 2: Possible answers

2.11 Source data selection - a summary

2.12 Cluster source data selection scenarios

2.13 Practical constraints to source data selection

2.14 Focus Group Discussions

2.15 Key informant interviews

2.16 FGD Exercise

2.17 FGD Exercise: Possible answers

2.18 Returning to case study selection

2.19 Example QuIP study (1) - Maziko, Malawi

2.20 Example QuIP study (2) - TTF, UK

2.21 Additional exercises

Part 3: Questionnaire design

3.1 Introduction

3.2 The QuIP questionnaire

3.4 Recall period

3.5 Types of questions

3.6 QuIP questionnaire quiz

3.7 Domains exercise

3.8 Probing questions

3.9 Additional information

3.10 Finding out about links with organisations

3.11 Notes section

3.12 Example QuIP study (1) - Maziko, Malawi

3.13 Example QuIP study (2) - TTF, UK

Part 4: Data collection

4.1 Introduction

4.2 Recruiting Researchers

4.3 Training Researchers

4.4 Preparing the research team

4.5 Code of conduct

4.6 Closing the feedback loop

4.7 Blindfolding in practice

4.8 Advice from an experienced researcher

4.9 Example QuIP study (1) - Maziko, Malawi

4.10 Example QuIP study (2) - TTF, UK

Part 5: Coding

5.1 Introduction

5.2 QuIP Coding

5.3 The QuIP analyst

5.4 Getting started

5.5 Coding with factors

5.6 Building causal chains

5.7 What makes a causal story?

5.8 Coding example

5.9 Factor labels

5.10 Hierarchical coding

5.11 Combining opposites

5.12 Coding exercise

5.13 Coding multiple respondents

5.14 Focus Group Discussions

5.15 Key steps to coding

5.16 Tensions facing the analyst

5.17 Example QuIP study (1) - Maziko, Malawi

5.18 Example QuIP study (2) - TTF, UK

5.19 Optional Causal Map coding exercise

Part 6: Analysis and reporting

6.1 Introduction

6.2 Step 1: Make a plan

6.3 Step 2: Snapshot of change

6.4 Step 3: Key trends

6.5 A note on causal map legends

6.6 Step 4: Explore further

6.7 Step 5: Test your theory

6.8 Using numerical data and tables in your report

6.9 Beware and be aware...

6.10 Exercise: Reading causal maps

6.11 A typical QuIP report

6.12 From narrative text to causal maps: QuIP analysis and visualisation

6.13 Beyond the final report

6.14 Recap on key steps of analysis

6.15 QuIP Lead Evaluator Assignment and next steps

5.11 Combining opposites

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