Theory
Theory. Theoretical material that is used in a variety of research, both peneltian field, study or library development in the shape of the essay, thesis or dissertation is also not less important in the preparation of a proposal that could later be more.


Volunteer Samples

Random sampling of broad populations is possible for survey research in which slight demands are made on the subjects. For example, most public-opinion polls are able to obtain random samples since they typically ask only a few questions and take only a few minutes of the respondent's time. Demands on the subject are much greater in most educational research; consequently, even if the researcher selects a random sample he can rarely get cooperation from all the subjects selected. (You will recall that when some subjects refuse to participate in a study, the remaining subjects no longer constitute a random sample because persons who agree to participate are likely to be different from those who do not.) For educational studies that employ other methods than survey, such as correlational or experimental research, the demands on the subject are usually much greater and consequently it is virtually impossible to obtain the cooperation of all subjects selected by random sampling.
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Sampling Techniques: Cluster Sampling
Cluster Sampling In cluster sampling the unit of sampling is not the individual but rather a naturally occurring group of individuals. Cluster sampling is used when it is more feasible or convenient to select groups of individuals than it is to select individuals from a defined population. This situation occurs when it is either impractical or impossible to obtain a list of all members of the accessible population. Suppose, for example, that one's defined population consists of all residents over the age of eighteen in a particular city. Simple random sampling or systematic sampling could be used if an up-to-date, complete census of all the city's individuals and their ages is available. If not, then cluster sampling is advisable.
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Sampling Techniques: Stratified Sampling
Stratified Sampling In many educational studies, it is desirable to select a sample in such a wav that the research worker is assured that certain subgroups in the population will be represented in the sample in proportion to their numbers in the population itself. Such samples are usually referred to as stratified samples. Let us say, for example, that we wish to conduct a study to see if there are significant differences on Thematic Apperception Test aggression scores of pupils at different ability levels selected from ability-grouped sixth-grade classrooms. Under this grouping system, pupils are classified into three levels on the basis of general intelligence and placed in classrooms accordingly.
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Sampling Techniques: Systematic Sampling
Systematic Sampling As with simple random sampling, the technique of systematic sampling is used to obtain a sample from the defined population. This technique can be used if all members in the defined population have already been placed on a list in random order. Suppose the researcher wants to select a sample of 100 pupils from a census list of 1000 pupils. To use systematic sampling, the researcher first divides the population by the number needed for the sample (1000 - 100 = 10). Then the researcher selects at random a number smaller than the number arrived at by the division (in this example, a number smaller than 10). Then, starting with that number (e.g., 8), she selects every tenth name from a list of the population.
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