Research Methods Ch.3

Smoothed histogram or bar graph describing the expected frequency for each value of a variable. The name comes from the fact that such a distribution often has the shape of a bell.

A kind of survey that involves a complete enumeration of the entire population of interest.

A sampling method that involves dividing the population into groups called clusters, randomly selecting clusters, and then sampling each element in the selected clusters. This method is useful when sampling a population that is spread across a wide geographic area.

Two dimensional graphs of a group's ideas where ideas that are more similar are located closer together and those judged less similar are more distant. Concept maps are often used by a group to develop a conceptual framework for a research project.

A sample of people with known or demonstrable experience and expertise in some area.

The degree to which the conclusions in your study would hold for other persons in other places and at other times.

The degree to which study conclusions are valid for members of the population not included in the study sample.

The dimension along which your study context can be related to other potential contexts to which you might wish to generalize. Contexts that are closer to yours along the gradient of similarity of place, time, people, and so on can be generalized to with more confidence than ones that are further away.

Sampling for diversity or variety.

Sampling for the most typical case.

The combining of several sampling techniques to create a more efficient or effective sample than the use of any one sampling type can achieve on its own.

Sampling that does not involve random selection.

A sampling method in which you sample until you achieve a specific number of sampled units for each subgroup of a population, where the proportions in each group are not the same.

The group you want to generalize to and the group you sample from in a study.

The mean or average you would obtain if you were able to sample the entire population.

Method of sampling that utilizes some form of random selection.

A sampling method in which you sample until you achieve a specific number of sampled units for each subgroup of a population, where the proportions in each group are the same.

A model for generalizing from your study to another context based upon the degree to which the other context is similar to your study context.

Any sampling method in which you sample until you achieve a specific number of sampled units for each subgroup of a population.

Process or procedure that assures that the different units in your population are selected by chance.

A specific measurement value that a sampling unit supplies.

The actual units you select to participate in your study.

The theoretical distribution of an infinite number of samples of the population of interest in your study.

The error in measurement associated with sampling.

The list from which you draw your sample. In some cases, there is no list; you draw your sample based upon an explicit rule. For instance, when doing quota sampling of passersby at the local mall, you do not have a list per se, and the sampling frame consists of both the population of people who pass by within the time frame of your study and the rule(s) you use to decide whom to select.

A model for generalizing in which you identify your population, draw a fair sample, conduct your research, and finally, generalize your results to other population groups.

A method of sampling that involves drawing a sample from a population so that every possible sample has an equal probability of being selected.

A sampling method in which you sample participants based upon referral from prior participants.

The spread or variability of the scores around their average in a single sample. The standard deviation, often abbreviated SD, is mathematically the square root of the variance. The standard deviation and variance both measure dispersion, but because the standard deviation is measured in the same units as the original measure and the variance is measured in squared units, the standard deviation is usually more directly interpretable and meaningful.