1. data collection Flashcards
(59 cards)
census def
measures every member of a population
sample def
selection of observations taken from a subset of a population which is used to find out information about the whole population
census advantaged
completely accurate results
sample advantaged
- less time consuming and expensive than census
- fewer people have to respond
- less data to process
census disadvantages
-time consuming and expensive
- cannot be used when testing process that destroys items
- hard to process large quantity of data
sample disadvantages
- data may not be as accurate
- sample may not be large enough to accurately represent population
sampling units
individual units of population
sampling frame
sampling units of a population individually named or numbered to form a list
three methods of random sampling
simple random sampling
systematic sampling
stratified sampling
simple random sample of size n is when
ever sample size of n has equal chance of being selected
in systematic sampling the required elements are chosen
at regular intervals from an ordered list
in stratified sampling
the population size is divided into mutually exclusive strata and a random sample is taken from each
number of sampled in a stratum=
number in stratum/number in population x overall Sample size
simple random sampling advantages
free of bias
easy and cheap to implement for small populations and small samples
each sampling unit has a known and equal chance of selection
disadvantages of simple random sampling
not suitable when the population size or sample size Is large as it is potentially time consuming, disruptive, and expensive
a sampling frame is needed
systematic sampling advantages
simple and quick to use
suitable for large samples and large populations
systematic sampling disadvantages
sampling frame is needed
it can introduce bias if the sampling frame is not random
stratified sampling advantages
sample accurately reflects the population structure
guarantees proportional representation of groups within a population
stratified sampling disadvantages
population must be clearly classified into distinct strata
selection within each stratum suffers from the same disadvantages as simple random sampling
two types of non random sampling
quota sampling
opportunity sampling
in quota sampling
researcher selects a sample that reflects the characteristics of the whole population
in opportunity sampling
consists of taking samples from people who are available at the time of the study is carried out and who fit the criteria you are looking for
quota sampling advantages
allows a small sample to still be representative of the population
no sampling frame required
quick and easy and inexpensive
allows for easy comparison between different groups within the population
quota sampling disadvantages
non random sampling can introduce bias
populations can be divided into groups which can be costly and inaccurate
increase number of group adds more time and expense
non response is not recorded as such