Sampling Flashcards
(18 cards)
means of gathering useful information about a population
Sampling
a list, map, directory, or other sources used to represent the population
Frame
every unit of the population has the same probability of being selected into the sample
Random sampling
not every unit of the population has the same probability of being selected in the sample
Nonrandom sampling
4 random sampling techniques
- Simple Random Sampling
- Stratified Random Sampling
- Systematic Random Sampling
- Cluster (or Area) Random Sampling
- basis of other random sampling methods
- a table of random numbers generator (usually computer program) is used to select n items into the sample
Simple random sampling
population is divided into nonoverlapping subpopulations called strata
Stratified random sampling
occurs when percentage of the sample taken from each stratum is proportionate to the percentage that each stratum is within the whole population
Proportionate
ccurs whenever the proportions of the strata in the sample are different from the proportions of the strata in the population
Disproportionate
used not to reduce sampling error but because of its convenience and relative ease of administration
Systematic random sampling
involves dividing the population into nonoverlapping areas (clusters)•…but clusters tend to be internally heterogenous
Cluster random sampling
4 nonrandom sampling techniques
- Convenience Sampling
- Judgement Sampling
- Quota Sampling
- Snowball Sampling
elements for the sample selected for the convenience of the researcher, e.g., elements that are readily available, nearby, or willing to participate
convenience sampling
- occurs when elements selected for the sample are chosen by the judgement of the researcher
- prone to biases
judgement sampling
- similar to stratified random sampling by using population subclasses such as group, gender, or geographic region
- gather data from one stratum until the desired quota of samples is filled
quota sampling
survey subjects are selected based on referral from other survey respondents
snowball sampling
occurs when the sample is not representative of the population
sampling errors
all errors other than sampling
•missing data, recording errors, input processing errors, and analysis errors
nonsampling errors