SAMPLING DESIGNS Flashcards
is the process of selecting a
representative part of a population for the
purpose of determining characteristics of the
whole population
SAMPLING
is the collection of all outcomes, responses,
measurement, or counts that are of interesT
POPULATION
is a subset of a population
sample
is a numerical description of a population
characteristic.
parameter
is a numerical description of a sample
characteristic
statistic
each member of the population
has a known equal chance of being selected
Methods include simple random sampling, systematic
sampling, and stratified sampling
Probability/Random Samples:
members are
selected from the population in some non-random manner
Methods include convenience sampling, judgment
sampling, quota sampling, and snowball sampling
Non-probability/Non-Random Samples:
has members from each segment of a
population. This ensures that each segment from the
population is represented.
stratified sample
has all members from randomly selected
segments of a population. This is used when the population
falls into naturally occurring subgroups.
cluster sample
is a sample in which each member of
the population is assigned a number. A starting number is
randomly selected and sample members are selected at
regular intervals
systematic sample
entails the use of the most conveniently available
people as participants
Convenience Sampling
also called purposive sampling
● based on the belief that researcher’s knowledge
about the population can be used to hand-pick
sample member.
Judgement Sampling
a non-probability sampling method that relies on the non-random selection of a predetermined number or proportion of units
quota sampling
s a non-probability sampling method where new units are recruited by other units to form part of the sample.
Snowball sampling
