Back to Course

CoM SSA Sustainable Energy Access and Climate Action Plan (SEACAP) course

0% Complete
0/0 Steps
  1. Lesson 7.3: Introduction to reporting the adaptation pillar
    3 Topics
    |
    1 Quiz
  2. MODULE 1: Setting the scene
  3. Lesson 1.1: Introduction to the CoM SSA initiative
    2 Topics
  4. Lesson 1.2: Introduction to the SEACAP
    3 Topics
  5. Lesson 1.3: Climate change and cities in Africa
    2 Topics
  6. MODULE 2: SEACAP Mitigation Pillar
  7. Lesson 2.1: Key concepts in climate change mitigation
    1 Topic
  8. Lesson 2.2: Introduction to the Mitigation Pillar
    2 Topics
  9. Lesson 2.3: The SEACAP development process for the Mitigation Pillar
    1 Topic
  10. Lesson 2.4: Emissions inventories: GHG emissions
    4 Topics
  11. Lesson 2.5: Developing a Baseline Emissions Inventory (BEI)
    3 Topics
  12. Lesson 2.6: Tools for BEI development
    2 Topics
  13. MODULE 3: SEACAP Access to Energy Pillar
  14. Lesson 3.1: Key concepts in access to energy
  15. Lesson 3.2: Introduction to the Access to Energy Pillar
    3 Topics
  16. Lesson 3.3: The SEACAP development process for the Access to Energy Pillar
    1 Topic
  17. Lesson 3.4: Data collection
    3 Topics
  18. Lesson 3.5: Developing an Access to Energy Assessment (AEA)
    2 Topics
  19. Lesson 3.6: Setting an energy vision and targets
    3 Topics
  20. Lesson 3.7: Planning energy actions
    3 Topics
  21. MODULE 4: SEACAP Adaptation Pillar
  22. Lesson 4.1: Key concepts in climate change adaptation
    1 Quiz
  23. Lesson 4.2: Introduction to the Adaptation Pillar
    2 Topics
    |
    1 Quiz
  24. Lesson 4.3: The SEACAP development process for the Adaptation Pillar
    1 Topic
    |
    1 Quiz
  25. Lesson 4.4: Developing a Risk and Vulnerability Assessment (RVA)
    1 Quiz
  26. Lesson 4.5: Setting an adaptation vision and sectoral targets
    2 Topics
    |
    1 Quiz
  27. Lesson 4.6: Planning adaptation actions
    2 Topics
    |
    1 Quiz
  28. MODULE 5: Steps to take before you implement your SEACAP
  29. Lesson 5.1: Next steps for prioritised actions
    1 Quiz
  30. Lesson 5.2: Categorising actions to access external finance
    2 Topics
    |
    1 Quiz
  31. MODULE 6: Communicating your SEACAP
  32. Lesson 6.1: Designing your SEACAP
    3 Topics
    |
    1 Quiz
  33. Lesson 6.2: Communicating your SEACAP to key stakeholders
    1 Topic
    |
    1 Quiz
  34. MODULE 7: Reporting your SEACAP
  35. Lesson 7.1: Introduction to reporting your SEACAP
    3 Topics
    |
    1 Quiz
  36. Lesson 7.2: Introduction to reporting the mitigation pillar
    4 Topics
    |
    1 Quiz
  37. MODULE 8: Integrating your SEACAP into existing planning processes
  38. Lesson 8.1: Integrating your SEACAP actions into local level plans
    1 Topic
    |
    1 Quiz
  39. Lesson 2.7: Setting mitigation targets
    2 Topics
  40. Lesson 2.8: Planning mitigation actions
    1 Topic
  41. Lesson 7.4: Introduction to reporting the access to energy pillar
    3 Topics
    |
    1 Quiz

Participants 1632

Show more
Lesson Progress
0% Complete

What is data collection?

  • Data are facts and statistics collected together for reference or analysis.
  • Data collection is a systematic process of gathering observations or measurements.
  • Data can be quantitative or qualitative: 

Quantitative data includes anything that can be counted, measured, or given a numerical value.

Qualitative data is data that is not easily reduced to numbers. Qualitative data tends to answer questions about the ‘what’, ‘how’ and ‘why’, instead of the ‘how many’ and ‘how much’.

What methods are used to collect data? 

Primary and secondary data collection methods include: 

  • Interviews
  • Questionnaires and surveys
  • Observations
  • Documents and records
  • Focus groups 
  • Oral histories

What techniques are used for sampling? 

Sampling is the process of identifying a subset of a population that provides an accurate reflection on the whole population.

Sampling methods

There are two main methods of sampling:

  • Probability sampling
  • Non-probability sampling

We will focus on probability sampling techniques in this lesson.

Probability sampling techniques include:

Simple random sampling

Simple random sampling Involves picking respondents with no design or order Pros: Eliminates bias Cons: Requires some planning Example: Using a random number generator to generate 100 households out of a total of 1000 households.

Systematic sampling

Systematic sampling Follows a set of rules to create regularity in sampling Pros: Easier than random sampling and retains some benefits of randomness Cons: Data may skew in one way or the other and is prone to bias Example: Interviewing every tenth customer. The bias may be that every 10th customer is female.

Stratified sampling

Stratified sampling Involves dividing population into subgroups that share similar characteristics Pros: Reduces bias Cons: Characteristics can sometimes be difficult to determine, which can invite bias Example: Breaking down a population by age or by gender, income groups etc.

Cluster sampling

Cluster sampling Using subgroups of populations rather than individuals, with predefined clusters Two types: Single stage cluster (all individuals in the cluster are included) and two-stage cluster (only random individuals in the cluster are chosen) Pros: Some work has already been done as a group has been defined Cons: Potential for bias if clusters do not accurately represent the whole population Example: Choosing a municipality to represent the national population.

How big should the sample size be for quantitative data?

How long does a sample survey take?

Example: 10 data collectors can take 8 days to survey 400 households in Bobo-Dioulasso.

Assumptions:

  • 1 hour spent in a household (HH) per enumerator.
  • 5 HHs surveyed per day per enumerator.

In addition, remember to factor in about 2 weeks for back-checks and data validation.

CoM SSA is co-funded by the European Union (EU) and the German Federal Ministry for Economic Development and Cooperation (BMZ)

Disclaimer

This website was created and maintained with the financial support of the European Union (EU) and the German Federal Ministry for Economic Development and Cooperation (BMZ). Its contents are the sole responsibility of Covenant of Mayors in Sub-Saharan Africa and do not necessarily reflect the views of the European Union or the other co-funders.