The aim of this training programme is to provide participants with a comprehensive understanding of data collection and sampling techniques. Each module includes a mix of lectures, interactive sessions, and hands-on exercises. Participants will work on real-world scenarios to practise designing data collection instruments and implementing sampling strategies.

  • Introduction to Data Collection and Sampling:
    • Overview of the importance of accurate data collection and sampling.
    • Key concepts such as population, sample, and sampling frame.
  • Types of Data Collection Methods:
    • Detailed explanation of different data collection methods, including surveys, experiments, observations, and secondary data.
    • Pros and cons of each method and appropriate contexts for their use.
  • Designing Data Collection Instruments:
    • How to design effective surveys, questionnaires, and data recording forms.
    • Ensuring clarity, relevance, and validity in data collection instruments.
  • Sampling Techniques:
    • Overview of various sampling techniques, including random sampling, stratified sampling, cluster sampling, and systematic sampling.
    • How to choose the right sampling technique based on research objectives and constraints.
  • Sample Size Determination:
    • Methods for calculating the appropriate sample size to ensure representativeness and statistical power.
    • Practical exercises on determining sample sizes for different types of studies.
  • Implementing Sampling Strategies:
    • Step-by-step guidance on implementing sampling strategies in the field.
    • Techniques for minimising sampling bias and ensuring data quality.
  • Ethical Considerations in Data Collection:
    • Discussing ethical issues related to data collection, including informed consent and privacy.
    • Best practices for maintaining ethical standards in research.

Lectures: Detailed explanations of data collection and sampling concepts and techniques, supported by visual aids and real-world examples.

Hands-on Exercises: Practical exercises where participants design surveys, determine sample sizes, and implement sampling strategies using real-world data.

Outcome:

  • Have a thorough understanding of various data collection methods and when to use them.
  • Be proficient in designing effective data collection instruments.
  • Understand different sampling techniques and how to choose the most appropriate one for their research.
  • Be able to calculate sample sizes and implement sampling strategies that minimise bias and maximise data quality.
  • Be knowledgeable about ethical considerations in data collection and how to maintain high ethical standards in their research.