Chapter 5: Sampling and Generalizability Flashcards
Population
The entire set or other entities to which study findings are to be generalized
Sample
A subset of a population used to study the population as a whole
Elements
The individual members of the population whose characteristics are to be measured
Sampling frame
A list of all elements or other units containing the elements in a population
Sampling units
Units listed at each stage of a multistage sampling design
Target population
A set of elements larger than or different from the population sampled and to which the researcher would like to generalize findings
Representative sample
A sample that “looks like” the population from which it was selected in all respects that are potentially relevant to the study. The distribution of characteristics among the elements of a representative sample is the same as the distribution of those characteristics among the total population. In an unrepresentative sample, some characteristics are overrepresented or underrepresented
Census
Research in which information is obtained through responses from or information about all available members of an entire population
Probability sampling method
A sampling method that relies on a random, or chance, selection method so that the probability of selection of population elements is known
Nonprobability sampling methods
Sampling methods in which the probability of population elements is unknown
Probability of selection
The likelihood that an element will be selected from the population for inclusion in the sample. In a census of all the elements of a population, the probability of any particular element will be selected is 1.0. If half the elements in the population are sample on a basis of chance (say, by tossing a coin), the probability of selection for each element is one half, or 0.5 As the size of the sample as a proportion of the population decreases, so does the probability of selection.
Random sampling
A method of sampling that relies on a random, or chance, selection method so that every element of the sampling frame has a known probability of being selected
Bias
sampling bias occurs when some population characteristics are over- or underrepresented int he sample because of particular features of the method of selecting the sample.
Simple random sampling
A method of sampling in which every sample element is selected purely on the basis of chance through a random process
Random number table
A table containing lists of numbers that are ordered solely on the basis of chance; it is used for drawing a random sample