Executive Development Programme in Survey Sampling Methods and Analysis for Growth
-- ViewingNowThe Executive Development Programme in Survey Sampling Methods and Analysis for Growth is a certificate course designed to empower professionals with the essential skills in survey sampling and analysis. This programme is crucial in today's data-driven world, where informed decision-making relies heavily on accurate and reliable data collection and analysis.
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โข Fundamentals of Survey Sampling Methods: Introduce key concepts and techniques in survey sampling, including probability and non-probability sampling, simple random sampling, stratified sampling, cluster sampling, and systematic sampling.
โข Sample Size Determination: Discuss methods for determining sample size, including power analysis, confidence intervals, and margin of error.
โข Data Collection Methods: Examine various data collection methods, including online surveys, paper surveys, telephone interviews, and in-person interviews, and their advantages and disadvantages.
โข Data Analysis Techniques: Introduce statistical analysis techniques for survey data, including descriptive statistics, inferential statistics, hypothesis testing, and regression analysis.
โข Weighting and Adjustment: Explain the importance of weighting and adjustment in survey sampling, including post-stratification, raking, and calibration.
โข Quality Control in Survey Sampling: Discuss methods for ensuring the quality of survey data, including questionnaire design, pilot testing, response rate optimization, and data cleaning.
โข Data Visualization and Reporting: Examine best practices for presenting survey results, including data visualization techniques, report writing, and dashboard design.
โข Advanced Survey Sampling Methods: Introduce advanced survey sampling techniques, including multi-stage sampling, adaptive sampling, and snowball sampling.
โข Ethical Considerations in Survey Sampling: Discuss ethical considerations in survey sampling, including informed consent, privacy, and confidentiality.
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