Representative vs. Random Samples: Key Differences Explained

Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.

Representative Samples: What Percentage of the Population Is Needed?

Discover how to determine the ideal percentage of a population for a representative sample to ensure accurate data analysis with minimal sampling error.
Nature

Estimation Methods for Finite Population Means Using Auxiliary Variables

Recent advances in survey sampling have underscored the value of auxiliary variables in estimating finite population means. By incorporating additional information from related variables, researchers ...
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, ...
Warc

Social graph theories – an alternative to traditional population sampling methods

This paper offers a synthetic view of several academic fields that usually require stand-alone lengthy developments: sociology, social psychology and graph theories. The purpose thereof is not to deep ...
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 ...
Houston Chronicle

Audit Procedures for Statistical Sampling of Inventory

When auditing a company, auditors use a combination of professional judgment and statistical sampling methods to estimate account balances. Statistical sampling is an efficient way to design samples, ...