Professional Certificate Survey Sampling: Future Trends
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• Fundamentals of Survey Sampling: Introduction to survey sampling concepts, probability sampling, non-probability sampling, and sampling errors.
• Probability Sampling Techniques: Simple random sampling, stratified sampling, cluster sampling, and multistage sampling.
• Non-Probability Sampling Techniques: Convenience sampling, quota sampling, snowball sampling, and judgment sampling.
• Designing Effective Surveys: Questionnaire design, sampling frame selection, sample size calculation, and data quality assurance.
• Online Survey Sampling: Advantages and challenges of online surveys, probability-based and non-probability-based online sampling methods.
• Big Data and Survey Sampling: Overview of big data, integrating big data with survey sampling, and potential benefits and limitations.
• Mobile Survey Sampling: Mobile survey design, sampling methods, and case studies of successful mobile surveys.
• Future Trends in Survey Sampling: Emerging technologies, artificial intelligence, machine learning, and their impact on survey sampling.
• Ethical Considerations in Survey Sampling: Data privacy, informed consent, and ethical guidelines for survey research.
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- ProficiencyEnglish
- ComputerInternetAccess
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- ThreeFourHoursPerWeek
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