Certificate Survey Sampling for Informed Policy
-- ViewingNowThe Certificate Survey Sampling for Informed Policy course is a comprehensive program that equips learners with essential skills in survey sampling techniques for data-driven policy formulation. This course emphasizes the importance of evidence-based decision-making, a critical aspect of modern public policy.
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⢠Survey Sampling Theory: Understanding the fundamental principles of survey sampling, including probability and non-probability sampling methods, sampling frames, and sampling error.
⢠Types of Survey Sampling: Exploring different survey sampling techniques, such as simple random sampling, stratified sampling, cluster sampling, and multistage sampling.
⢠Sample Size Determination: Learning how to calculate the optimal sample size for a given survey, taking into account the desired level of precision, population size, and expected response rate.
⢠Sampling Design Strategies: Examining how to create an effective sampling design, including selecting the appropriate sampling method, determining the sample size, and accounting for potential sources of bias and error.
⢠Data Collection Methods: Understanding various data collection methods, such as in-person interviews, telephone interviews, mail surveys, and online surveys, and their advantages and disadvantages.
⢠Quality Control and Data Validation: Learning how to ensure data quality and accuracy through techniques such as data cleaning, data validation, and quality control measures.
⢠Data Analysis Techniques: Exploring statistical methods for analyzing survey data, including descriptive statistics, inferential statistics, and regression analysis.
⢠Survey Sampling Applications: Applying survey sampling techniques to real-world scenarios, such as opinion polls, market research, and epidemiological studies.
⢠Ethical Considerations: Understanding ethical considerations in survey sampling, such as informed consent, confidentiality, and data privacy.
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