Sampling Design Flashcards
A sampling technique where a researcher sets a selection of a few criteria ( and chooses members of a population randomly ) and all the members of the population have an equal opportunity to be part of the sample using the selection parameters.
Probability Sampling
Not all members of the population have an equal chance of participating in the study and there is no system in selecting the sample. The selection depends upon the situation as well.
Non-Probability Sampling
A type of Probability Sampling that is also called the Lottery or raffle type of sampling.
Pure Random Sampling
A type of Probability Sampling that is used when the population is big or the geographical area of the research is large and divides the population or area into clusters or blocks and then applying any of the different methods of selecting a sample within the final cluster.
Cluster Sampling
A type of Probability Sampling that is used when the subjects or respondents in the study are arranged in some systematic or logical manner in which the individuals are chosen at regular intervals.
Systematic Sampling
A type of Probability Sampling that involves dividing the population into subpopulations that may differ in important ways.
Stratified Random Sampling
A type of Non - probability Sampling wherein there is no system of selection but only those whom the researcher or the interviewer meets by chance are included in the sample.
Accidental Sampling
A type of Non - probability Sampling wherein the respondents are chosen based on their knowledge of the information desired.
Purposive Sampling
A type of Non - probability Sampling wherein specified numbers of persons of certain types are included in the sample.
Its representativeness is doubtful because there is no proportional representation and there are no guidelines in the selection of the respondents
Quota Sampling
A type of Non - probability Sampling that simply includes the individuals who happen to be most accessible to the researcher
Convenience Sampling
