Module Two: Sampling and Experimentation


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  Overview of methods of data collection:

  • Census
  • Sample survey
  • Experiment
  • Observational study

  Planning and conducting surveys:

  • Characteristics of a well-designed and well-conducted survey
  • Populations, samples, and random selection
  • Sources of bias in sampling and surveys
  • Sampling methods, including simple random sampling, stratified random sampling, and cluster sampling

  Planning and conducting experiments:

  • Characteristics of a well-designed and well-conducted experiment
  • Treatments, control groups, experimental units, random assignments, and replication
  • Sources of bias and confounding, including placebo effect and blinding
  • Completely randomized design
  • Randomized block design, including matched pairs design

Generalizing results and, types of conclusions that can be drawn from observational studies, experiments and surveys

  Overview of methods of data collection:

  • Census
  • Sample survey
  • Experiment
  • Observational study

  Planning and conducting surveys:

  • Characteristics of a well-designed and well-conducted survey
  • Populations, samples, and random selection
  • Sources of bias in sampling and surveys
  • Sampling methods, including simple random sampling, stratified random sampling, and cluster sampling

  Planning and conducting experiments:

  • Characteristics of a well-designed and well-conducted experiment
  • Treatments, control groups, experimental units, random assignments, and replication
  • Sources of bias and confounding, including placebo effect and blinding
  • Completely randomized design
  • Randomized block design, including matched pairs design

Generalizing results and, types of conclusions that can be drawn from observational studies, experiments and surveys

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