Certificate Survey Sampling for Program Evaluation
-- ViewingNowThe Certificate Survey Sampling for Program Evaluation is a comprehensive course designed to equip learners with the essential skills required to excel in program evaluation. This course focuses on the importance of survey sampling, a critical aspect of data collection and analysis in various industries.
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GBP £ 140
GBP £ 202
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โข Introduction to Survey Sampling – Defining survey sampling, understanding its importance in program evaluation, and learning the basics of survey sampling methods.
โข Types of Survey Sampling – Covering probability sampling (simple random sampling, stratified sampling, cluster sampling, and multistage sampling) and nonprobability sampling (convenience sampling, quota sampling, and snowball sampling).
โข Sampling Frame – Understanding the concept of a sampling frame, its importance in survey sampling, and methods for creating and maintaining accurate sampling frames.
โข Sample Size Determination – Learning how to calculate sample size for survey sampling in program evaluation, taking into consideration factors such as population size, confidence level, and margin of error.
โข Data Collection Methods – Investigating various data collection methods, including online surveys, paper surveys, telephone surveys, and in-person interviews.
โข Data Analysis Techniques – Exploring data analysis techniques, such as descriptive statistics, inferential statistics, and hypothesis testing, for survey sampling data in program evaluation.
โข Survey Sampling Errors – Examining various sources of error in survey sampling, such as sampling error, nonresponse error, and measurement error, and strategies for minimizing their impact.
โข Weighting and Adjustment – Understanding the concepts of weighting and adjustment in survey sampling, when and how to apply them, and their impact on survey results.
โข Ethical Considerations – Discussing the ethical considerations of survey sampling in program evaluation, including informed consent, privacy, and confidentiality.
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