Certificate Survey Sampling for Informed Decisions
-- ViewingNowThe Certificate Survey Sampling for Informed Decisions course is a powerful learning opportunity for those seeking to make data-driven decisions in their professional careers. This course focuses on the importance of survey sampling, a critical skill in industries such as market research, social sciences, and healthcare.
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⢠Survey Design: Understanding the basics of survey design, including question formulation, response options, and survey structure.
⢠Sampling Techniques: An overview of probability and non-probability sampling methods, including simple random sampling, stratified sampling, cluster sampling, and convenience sampling.
⢠Sample Size Determination: How to calculate the appropriate sample size for a survey, taking into account factors such as the desired level of precision, the expected variability of the population, and the desired level of confidence.
⢠Data Collection Methods: Different methods for collecting survey data, including online surveys, paper surveys, and in-person interviews.
⢠Data Analysis Techniques: Basic statistical analysis techniques for survey data, including descriptive statistics, cross-tabulations, and hypothesis testing.
⢠Weighting and Adjustment: Techniques for adjusting survey data to account for non-response and sampling bias.
⢠Data Visualization: Best practices for presenting survey data in a clear and effective manner, including the use of charts, graphs, and tables.
⢠Ethical Considerations: Ethical considerations when conducting survey research, including issues related to privacy, informed consent, and data security.
⢠Survey Research Applications: Real-world examples of survey research being used to inform decisions in various fields, such as public opinion polling, market research, and program evaluation.
Note: The above list is not in any particular order, and the units can be adjusted to fit the specific needs and goals of the certificate program.
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