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How to Design and Evaluate Research in Education Book Cover
How to Design and Evaluate Research in Education, 5/e
Jack R. Fraenkel, San Francisco State University
Norman E. Wallen, San Francisco State University

Sampling


Accessible population   The population from which the researcher can realistically select subjects for a sample, and to which the researcher is entitled to generalize findings.
Cluster sampling   The selection of groups of individuals, called clusters, rather than single individuals. All individuals in a cluster are included in the sample; the clusters are preferably selected randomly from the larger population of clusters.
Ecological generalizibility   The degree to which results can be generalized to environments and conditions outside the research setting.
External validity   The degree to which results are generalizable, or applicable, to groups and environments outside the research setting.
Generalizing   See ecological generalizability; population generalizability.
Nonrandom sampling   The selection of a sample in which every member of the population does not have an equal chance of being selected.
Parameter   A numerical index describing a characteristic of a population.
Population   The group to which the researcher would like the results of a study to be generalizable; it includes all individuals with certain specified characteristics.
Population generalizability   The extent to which the results obtained from a sample are generalizable to a larger group.
Purposive sampling   A nonrandom sample selected because prior knowledge suggests it is representative, or because those selected have the needed information.
Random sampling   Methods designed to select a representative sample by using chance selection so that biases will not systematically alter the sample.
Replication   Refers to conducting a study again; the second study may be a repetition of the original study, using different subjects, or may change specified aspects of the study.
Representative sample   A sample that is like the population in terms of relevant characteristics.
Sample   The group on which information is obtained.
Sampling   The process of selecting a number of individuals (a sample) from a population, preferably in such a way that the individuals are representative of the larger group from which they were selected.
Simple random sample   see random sample.
Stratified random sampling   The process of selecting a sample in such a way that identified subgroups in the population are represented in the sample in the same proportion as they exist in the population.
Systematic sampling   A selection procedure in which all sample elements are determined after the selection of the first element, since each element on a selected list is separated from the first element by a multiple of the selection interval.
Table of random numbers   A table of numbers that provides one of the best means of random selection or random assignment.
Target population   The population to which the researcher, ideally, would like to generalize results.
Two-stage random sampling   A process in which clusters are first randomly selected and then individuals are selected from each cluster.