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EvalC3

…tools for developing, exploring and evaluating predictive models of expected outcomes

  • About EvalC3
    • About EvalC3 – the basics
    • Example uses
    • Types of causes
    • Prediction vs explanation
    • Compared to what…?
    • Does EvalC3 use Machine Learning?
    • Internal and external validity
    • Contra Regression Analysis
    • Pro and Contra QCA
    • Realist Evaluation and Process Tracing
    • Background reading
    • Origins
    • Short introductory videos
  • 1. Input data
    • 1. Input data – how to
    • 1.1 Usable data
      • 1.1.1 Multiple observations of one case
    • 1.2 Data sets
    • 1.3 Data preparation
      • Dichotomising variable data
      • 1.3.1 Using a Data Analysis Matrix
    • 1.4 Participatory predictive modeling
  • 2. Select data
    • 2. Select data – how to
    • 2.1 Selecting cases
    • 2.2 Selecting attributes and outcomes
  • 3. Design model
    • 3. Design model – how to
    • 3.1 Search options
      • 3.1.1 Search parameters
    • 3.2 Analysis sequence
    • 3.3 Decision Trees
    • 3.4 Solver – a genetic algorithm
  • 4. Evaluate model
    • 4. Evaluate model – how to
    • 4.1 Sensitivity and INUS Analysis
    • 4.2 The adjacent possible
    • 4.3 Context effects (aka Scope condtiions)
    • 4.4 “Boring” versus “interesting” models
    • 4.5 Finding Positive Deviants
    • 4.6 Testing models with new data
  • 5. Compare models
    • 5. Compare models – how to
    • 5.1 Reviewing models
    • 5.2 EvalC3 versus QCA results
    • 5.2 Mapping a fitness landscape?
  • 6. Select cases
    • 6. Select cases – how to
    • 6.1 Within-case analysis
    • 6.2 Network analysis of cases
  • Obtain EvalC3
    • Obtain EvalC3 – how to
    • Latest news re bugs and new features
    • Feature request
    • Subscribe to the EvalC3 email list
EvalC3

Subscribe to the EvalC3 email list

This email list enables users of EvalC3 to share their experiences of using EvalC3. And to offer advice, ask questions, complain and suggest improvements.

The email list is managed by Rick Davies, who is developing EvalC3. He can be contacted at: rick.davies@gmail.com

To join, email: evalc3+subscribe@googlegroups.com

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To share information about its potential and actual use, problems arising and resolved, and related issues. Go to:

https://groups.google.com/g/evalc3

Or subscribe directly:

evalc3+subscribe@googlegroups.com

Contact Rick Davies

rick.davies@gmail.com

Links

  • 1. Rick Davies – Monitoring and Evaluation Consultant
  • 2. Monitoring and Evaluation NEWS
  • 3. ParEvo – A web-assisted participatory scenario planning process
  • 4. Rick Davies on Twitter
  • 5. Aptivate

Management

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  • WordPress.org
  • About EvalC3
    • About EvalC3 – the basics
    • Example uses
    • Types of causes
    • Prediction vs explanation
    • Compared to what…?
    • Does EvalC3 use Machine Learning?
    • Internal and external validity
    • Contra Regression Analysis
    • Pro and Contra QCA
    • Realist Evaluation and Process Tracing
    • Background reading
    • Origins
    • Short introductory videos
  • 1. Input data
    • 1. Input data – how to
    • 1.1 Usable data
      • 1.1.1 Multiple observations of one case
    • 1.2 Data sets
    • 1.3 Data preparation
      • Dichotomising variable data
      • 1.3.1 Using a Data Analysis Matrix
    • 1.4 Participatory predictive modeling
  • 2. Select data
    • 2. Select data – how to
    • 2.1 Selecting cases
    • 2.2 Selecting attributes and outcomes
  • 3. Design model
    • 3. Design model – how to
    • 3.1 Search options
      • 3.1.1 Search parameters
    • 3.2 Analysis sequence
    • 3.3 Decision Trees
    • 3.4 Solver – a genetic algorithm
  • 4. Evaluate model
    • 4. Evaluate model – how to
    • 4.1 Sensitivity and INUS Analysis
    • 4.2 The adjacent possible
    • 4.3 Context effects (aka Scope condtiions)
    • 4.4 “Boring” versus “interesting” models
    • 4.5 Finding Positive Deviants
    • 4.6 Testing models with new data
  • 5. Compare models
    • 5. Compare models – how to
    • 5.1 Reviewing models
    • 5.2 EvalC3 versus QCA results
    • 5.2 Mapping a fitness landscape?
  • 6. Select cases
    • 6. Select cases – how to
    • 6.1 Within-case analysis
    • 6.2 Network analysis of cases
  • Obtain EvalC3
    • Obtain EvalC3 – how to
    • Latest news re bugs and new features
    • Feature request
    • Subscribe to the EvalC3 email list
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