With this process, each case has a known probability of being included in the sample.

Describes the sampling distribution of a proportion.

This type of sampling design may be either proportionate or disproportionate.

Use of a city telephone directory as a sampling frame introduces this problem.

An example is Calarco’s selection of an elementary school attended by children from working and middle-class backgrounds.

For samples of 1,000, the population percent lies within + or – 3 percentage points of the sample estimate.

Displays the theoretical probability of obtaining sample estimates of a population value.

This value decreases as sample size increases.

Assumes that members of the target population know one another.

An operational definition of a population that provides a basis for drawing a sample.

Its effectiveness depends on the knowledge and skill of the researcher in selecting cases.

A main purpose of this probability sampling design is to reduce the costs of data collection.