Global Certificate Survey Sampling in a Changing World
-- ViewingNowThe Global Certificate in Survey Sampling in a Changing World is a comprehensive course designed to equip learners with essential skills in survey sampling, a critical area in research and data analysis. This course comes at a time when the world is rapidly changing, and there is an increasing demand for reliable and accurate data for decision-making.
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⢠Survey Sampling Methods: An overview of different survey sampling methods, including simple random sampling, stratified sampling, cluster sampling, and multistage sampling.
⢠Probability and Nonprobability Sampling: A comparison of probability sampling methods (e.g., simple random sampling, stratified sampling) and nonprobability sampling methods (e.g., convenience sampling, snowball sampling).
⢠Population and Sample Size Determination: Understanding the concepts of population and sample size, and how to determine an appropriate sample size for a survey.
⢠Sampling Error and Confidence Intervals: An explanation of the concept of sampling error and how to calculate confidence intervals for survey results.
⢠Data Quality Control in Survey Sampling: Techniques for ensuring data quality in survey sampling, including response rate monitoring and data editing procedures.
⢠Online Survey Sampling: An overview of the unique considerations for online survey sampling, including non-coverage bias and self-selection bias.
⢠Mobile Survey Sampling: The use of mobile devices for survey sampling and the challenges associated with this method.
⢠Cross-Cultural Survey Sampling: The challenges of conducting survey sampling in a cross-cultural context and methods for addressing these challenges.
⢠Sampling for Big Data: The application of survey sampling methods to big data and the potential benefits and limitations of this approach.
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