KAHAN HO TUMKAB AWOGY

1. Dr. Najma Baseer
MBBS, MHPE, PhD
Associate Professor Anatomy
IBMS KMU

2. The choice of sampling strategy will be determined by your
 Research question,
 Proposed method of analysis (i.e. most statistical tests assume that a
sample is random),
 By the available time and resources you have

3.  Every unit in the population has a chance (greater than zero) of being selected
in the sample, and this probability can be accurately determined.
 When every element in the population does have the same probability of
selection, this is known as an 'equal probability of selection' (EPS) design.
 Probability samples are usually more representative than nonprobability
samples of the populations from which they are drawn
1. Simple Random Sampling,
2. Systematic Sampling
3. Stratified Random Sampling
4. Cluster Sampling
5. Multistage Sampling.
6. Multiphase sampling
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4.  Random sampling is the purest form of probability sampling.
 Each member of the population has an equal and known chance of being
selected.
 When there are very large populations, it is often ‘difficult’ to identify every
member of the population, so the pool of available subjects becomes biased.
 Applicable when population is small, homogeneous & readily available
 You can use softwares and random generators, such as minitab to generate
random numbers or to draw directly from the columns
 Estimates are easy to calculate.
 Disadvantages
 If sampling frame large, this method impracticable.
 Minority subgroups of interest in population may not be present in
sample in sufficient numbers for study.

5.  Systematic sampling is often used instead of random sampling.
 It is also called an Nth name selection technique.
 After the required sample size has been calculated, every Nth
record is selected from a list of population members.
 As long as the list does not contain any hidden order, this
sampling method is as good as the random sampling method.
 Its only advantage over the random sampling technique is
simplicity (and possibly cost effectiveness).

6.  A stratum is a subset of the population that share at least one
common characteristic; such as males and females.
 Identify relevant stratums and their actual representation in
the population.
 Random sampling is then used to select a sufficient number of
subjects from each stratum.
 Stratified sampling is often used when one or more of the
stratums in the population have a low incidence relative to the
other stratums.
 Every unit in a stratum has same chance of being selected.