Professional Certificate Survey Sampling for Healthcare
-- ViewingNowThe Professional Certificate in Survey Sampling for Healthcare is a vital course designed to equip learners with essential skills in healthcare survey research. This program focuses on the importance of survey sampling, a critical aspect of healthcare data collection and analysis.
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โข Survey Sampling Methods: Overview of different sampling methods, including simple random sampling, stratified sampling, cluster sampling, and systematic sampling. Explanation of the advantages and disadvantages of each method. โข Probability and Non-probability Sampling: Comparison between probability and non-probability sampling methods. Explanation of the difference between the two and when to use each method. โข Sampling Frame Selection: Discussion on the importance of selecting an appropriate sampling frame. Types of sampling frames, including population registries, customer databases, and household surveys. โข Sample Size Calculation: Explanation of how to calculate sample size based on the desired level of precision, population size, and expected variability. โข Data Collection Methods for Healthcare Surveys: Overview of different data collection methods, including face-to-face interviews, telephone interviews, mail surveys, and online surveys. Explanation of the advantages and disadvantages of each method. โข Questionnaire Design for Healthcare Surveys: Best practices for designing a questionnaire for healthcare surveys, including question wording, response options, and question formats. โข Sampling Bias and Error: Discussion on the different types of sampling bias and error, including selection bias, non-response bias, and measurement error. Explanation of how to minimize bias and error in healthcare surveys. โข Weighting and Adjustment: Explanation of how to adjust survey data for sampling bias and non-response bias. Discussion on the use of weighting and adjustment techniques, including post-stratification and raking. โข Data Analysis for Healthcare Surveys: Overview of data analysis techniques for healthcare surveys, including descriptive statistics, inferential statistics, and regression analysis. โข Ethical Considerations in Healthcare Surveys: Discussion on the ethical considerations involved in healthcare surveys, including confidentiality, informed
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