Exam 11: Evaluating the Methods Sectionsampling Methods

Most research involves populations that are quite small.

To understand what a sample is, we must start with concepts defining the population.

Researchers have raised the issues of whether it is truly possible to select a sample that truly mirrors the population of interest.

What is the difference between sampling errors and sampling bias?

Discussing sampling errors and sampling bias. Give example of each.

Once a researcher identifies the population of interest, the next step is ______.

The stricter the level of significance, the more statistical power the researcher loses.

Discuss why it is practically impossible to include all members of a population in a study.

Generally selecting a subset of individuals from the accessible population so that every single individual has an equal chance of being chosen and each selection is independent of the other selection is referred to as ______.

Almost all current researchers never use volunteers in their research.

This type of sampling is used when groups of the target population may not be separated, this is referred to as ______.

Gall differentiated between two types of populations. They are ______.

Key in deciding which demographic characteristics to identify in a study are ______.

"The probability that a particular test of statistical significance will lead to rejection of a false null hypothesis" according to Gall et al. is known as ______.

This type of sampling involves first identifying several people with relevant characteristics and interviewing them or having them answer a questionnaire. These subjects are then asked for the names of other people who possess the same attributes as they do. This type of sampling is known as ______.

Two different types of populations include ______.

According to Berg (2004), ______ sampling methods may be used in qualitative Research.

The best solution to the problem of sampling bias is the use of ______.

The extent to which a sample represents a population is critical in determining how easily and validly the researcher can generalize the result back to the entire target population.