Global Certificate Survey Sampling for a Data-Driven World
-- ViewingNowThe Global Certificate Survey Sampling for a Data-Driven World course is a comprehensive program designed to empower learners with the essential skills needed to thrive in today's data-driven world. This course focuses on the importance of survey sampling, a critical technique in data collection and analysis.
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โข Survey Sampling Basics: Defining populations, sampling frames, and survey samples. Understanding probability and non-probability sampling methods.
โข Probability Sampling: Simple random sampling, stratified sampling, cluster sampling, and multistage sampling.
โข Non-Probability Sampling: Convenience sampling, quota sampling, snowball sampling, and purposive sampling.
โข Sample Size Determination: Factors affecting sample size, power analysis, and margin of error.
โข Data Collection Methods: Online surveys, paper surveys, telephone surveys, and in-person interviews.
โข Quality Control in Survey Sampling: Strategies to minimize errors and biases, questionnaire design, and pretesting.
โข Data Analysis for Survey Sampling: Descriptive statistics, inferential statistics, and statistical testing.
โข Weighting and Adjustment: Post-stratification, raking, and propensity score adjustment.
โข Ethical Considerations: Confidentiality, anonymity, informed consent, and data protection.
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