SAMPLING TECHNIQUE by MOHAMAD NASRUDIN HUSNI

SAMPLING TECHNIQUE

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PROBABILITY

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NON-PROBABILITY

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WITH GROUP

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WITHOUT GROUP

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SIMPLE RANDOM SAMPLING ( SRS )

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Method of selecting items from a population in such a way that every item in the population has equal of being selected. Can use table of random numbers or a calculator with random number generator.

Advantage :

It is easy and simple to use with small populations

Disadvantage :

Requires a sampling frame
Uses larges sample sizes
Expensive
Takes time to implement

SYSTEMATIC SAMPLING

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The first sample will be chosen using simple random sampling, while the subsequent samples chosen according to an interval from the sampling frame.

Advantage :

Easier and less expensive

Disadvantage :

Not suitable if periodicity occurs in the population

STRATIFIED SAMPLING

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The population is divided into subgroups called strata. Within each stratum, a simple random sample is selected.

Advantage :

Assures each group of the subgroups will have representive
Allow us to analyse each subgroup
Can use different data collection methods for different strata

Disadvantage :

The cost is expensive if the strata have to be created

CLUSTER SAMPLING

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This method requires to divide the population into groups called clusters, then select a number of clusters randomly from them. All members within the chosen clusters are included in the sample.

Advantage :

Useful when no sampling frame needed
Useful if the population are spread out in a wide geographic region
Less expensive

Disadvantage :

Difficult to get heterogeneous groups
Produce less accurate results

MULTISTAGE SAMPLING

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Similar to cluster sampling but samples are selected randomly at the second or later stage. Which means randomly select few clusters instead including all elements.

Advantage :

Less expensive
Convenient

Disadvantage :

Less accurate results

QUOTA SAMPLING

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The population is divided into subgroups and samples are chosen non-randomly from these subgroups to get the required quota. The selection of sample are done so that the sample are given characteristics.

Advantage :

Less expensive
Does not any sampling frame

Disadvantage :

The choice of respondent is left to the researcher
Estimates of the population parameters are not possible

CONVENIENCE SAMPLING

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The sample is selected from the population in such a way that is easy and convenient. For example get a students to participate in a survey to advertise and reward.