Certificate Survey Sampling for Evidence-Based Decisions
-- ViewingNowThe Certificate Survey Sampling for Evidence-Based Decisions course empowers learners with the essential skills to design and implement effective survey sampling methods for data-driven decision-making. This course is crucial for professionals in various industries, including market research, social sciences, healthcare, and government, where evidence-based decisions are vital.
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โข Survey Sampling Design: Understanding the basics of survey sampling design, including probability and nonprobability sampling methods, sampling frames, and sample size determination.
โข Probability Sampling Techniques: In-depth exploration of simple random sampling, stratified sampling, cluster sampling, and multistage sampling.
โข Nonprobability Sampling Techniques: Examination of convenience sampling, quota sampling, snowball sampling, and purposive sampling.
โข Sampling Error and Confidence Intervals: Analysis of sampling error, standard error, and confidence intervals in survey sampling.
โข Weighting and Adjustment Methods: Techniques for adjusting survey data, including post-stratification, raking, and calibration.
โข Data Quality Control: Strategies for ensuring data quality, including data cleaning, validation checks, and response rate enhancement.
โข Survey Sampling Software: Overview of popular survey sampling software packages, such as SPSS, SAS, and R.
โข Data Analysis for Evidence-Based Decisions: Application of survey sampling techniques to evidence-based decision making, including data interpretation and presentation.
โข Ethical Considerations in Survey Sampling: Ethical issues in survey sampling, including informed consent, confidentiality, and data protection.
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