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
Random digit dialing (RDD)
The random dialing, by a machine, of numbers within designated phone prefixes, which creates a random sample for phone surveys
Systematic random sampling
A method of sampling in which sample elements are selected from a list or from sequential files, with every nth element being selected after the first element is selected randomly
Periodicity
A sequence of elements (in a list to be sampled) that varies in some regular, periodic pattern.
Sampling interval
The number of cases between one sample case and another in a systematic random sample
Cluster sampling
Sampling in which elements are selected in two or more stages, with the first stage being the random selected of naturally occurring clusters and the last stage being the random selection of elements within clusters
Cluster
A naturally occurring, mixed aggregate of elements of the population
Stratified random sampling
A method of sampling in which sample elements are selected separately from population strata that the researcher identifies in advance
Proportionate stratified sampling
Sampling method in which elements are selected from strata in exact proportion to their representation in the population
Disproportionate stratified sampling
Sampling in which elements are selected from strata in proportions different from those that appear in the population
Availability sampling
Sampling in which elements are selected on the basis of convenience
Quota sampling
A nonprobability sampling method in which elements are selected to ensure the sample represents certain characteristics in proportion to their prevalence in the population
Purposive sampling
A nonprobability method in which elements are selected for a purpose, usually because of their unique position
Snowball sampling
A method of sampling in which sample elements are selected as successive informants or interviewees identify them.