Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

Targeting matters most. Surveying the wrong audience can lead to misleading data and poor decisions, even if the questions themselves are solid. Weighting shapes reality. Overrepresenting certain ...

Muslim Americans constitute a population that is rare, dispersed and diverse. It includes many recent immigrants from multiple countries with different native languages who may have difficulty ...

This short course introduces statistical survey methods necessary to acquire information from people and analyze the collected information in an objective way which would minimizes bias and errors in ...

Cochran (1977) outlines eleven steps in the planning of a survey. Good sampling methods must exist in the environment of all of these steps. These steps are (1) a statement of the survey objectives, ...

Learn the distinctions between simple and stratified random sampling. Understand how researchers use these methods to accurately represent data populations.

Wondering how many people in the United States have a smartphone? If you poll 20 people on the street, your survey won’t be representative of the entire American population. But if you just want to ...

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

Researchers often use sample survey methodology to obtain information and make inferences about a large aggregate or population. The application of a wide variety of available sampling designs ...