Global Certificate Survey Sampling for Social Change
-- ViewingNowThe Global Certificate in Survey Sampling for Social Change is a comprehensive course designed to equip learners with the essential skills needed to drive data-driven decision making in the social sector. This program focuses on the importance of survey sampling, a critical aspect of research and evaluation in social change initiatives.
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โข Survey Sampling Basics: Defining survey sampling, differentiating between probability and non-probability sampling, understanding the importance of sampling for research and social change.
โข Probability Sampling Techniques: Simple random sampling, stratified sampling, cluster sampling, systematic sampling, and multistage sampling.
โข Non-Probability Sampling Techniques: Convenience sampling, purposive sampling, snowball sampling, quota sampling, and self-selected sampling.
โข Sampling Error and Confidence Intervals: Understanding the concept of sampling error, calculating confidence intervals, and interpreting their significance in survey sampling for social change.
โข Power Analysis and Sample Size Determination: Explaining power analysis, determining adequate sample sizes, and its importance in global certificate survey sampling.
โข Data Quality and Weighting: Ensuring data quality, identifying sources of bias, and implementing weighting techniques for a more representative sample.
โข Ethical Considerations in Survey Sampling: Discussing informed consent, privacy, and confidentiality in global survey sampling for social change.
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