Simple vs. Stratified Random Sampling: Key Differences Explained

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

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
National Academies of Sciences%2c Engineering%2c and Medicine

Methodological Advances in Cross-National Surveys of Educational Achievement

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, ...
The Conversation

Want to know how many people have the coronavirus? Test randomly

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
The New York Times

Don’t Think You Need a Coronavirus Test? What if I Paid You?

Economists say rewards could overcome hurdles in gauging the overall infection and mortality rates from a limited population sample. By Eduardo Porter In March, Andrew Atkeson, an economics professor ...
National Academies of Sciences%2c Engineering%2c and Medicine

Studies of Welfare Populations: Data Collection and Research Issues

Suggested Citation: "1 Designing Surveys Acknowledging Nonresponse." National Research Council. 2002. Studies of Welfare Populations: Data Collection and Research Issues. Washington, DC: The National ...