Professional Certificate Survey Sampling: A Data-Driven Approach
-- ViewingNowThe Professional Certificate in Survey Sampling: A Data-Driven Approach is a comprehensive course that emphasizes the importance of data-driven decision-making in survey research. This program is designed to equip learners with essential skills in survey sampling, empowering them to design and implement effective surveys, analyze data, and draw meaningful conclusions.
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⢠Survey Sampling Design: Understanding the fundamentals of survey sampling design, including probability and non-probability sampling methods.
⢠Population and Sample Frame: Defining the target population, determining the sampling frame, and exploring strategies for improving frame coverage.
⢠Sample Size Determination: Calculating sample size for survey research based on desired precision, population size, and expected variance.
⢠Stratified Sampling: Implementing stratified sampling techniques to improve sample representativeness and precision.
⢠Cluster Sampling: Utilizing cluster sampling methods for cost-effective survey data collection.
⢠Multistage Sampling: Designing and implementing multistage sampling strategies in survey research.
⢠Sampling with and for Big Data: Integrating survey sampling techniques with big data to enhance data-driven decision-making.
⢠Weighting and Adjustment: Applying weighting and adjustment techniques to improve the accuracy and representativeness of survey estimates.
⢠Sampling Error and Confidence Intervals: Calculating sampling error and constructing confidence intervals in survey research.
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