![SAMPLING METHODS<br />(A) RANDOM SAMPLING<br />(EXP) <br />List the (members of the population), say from 1 to (N)<br />And make a random selection of (n- sample)<br />(NOTE) Suitable for relatively small population and the sampling frame is complete and up-to-date.<br />(ADVANTAGES) <br />Truly random<br />Free from bias<br />(DISADVANTAGE)<br />Not able to get access to some members who have been chosen for the sample.<br />(B) STRATIFIED SAMPLING<br />(EXP) <br />Divide the (members of the population) into different strata based on (age/ ethnic/ gender)<br />Find the proportion [%] among the strata <br />Calculate sample size for each stratum according to proportion [%] <br /><< % × n>><br />Select from each stratum using random sampling<br />(ADVANTAGE)<br />Likely to give a good representative sample of the population<br />(DISADVANTAGES)<br />Can be expensive<br />Require precise and accurate information about population<br />(C) SYSTEMATIC SAMPLING<br />(EXP)<br />List the (members of the population)<br />Select every k = (population)/(sample) = (sampling interval)th (member from the list),<br />Select until obtain the required sample.<br />(ADVANTAGES)<br />Easier to conduct as compared to other types of sampling<br />Suitable for large samples<br />(DISADVANTAGES)<br />Not always possible to (line up/ obtain a list) of all the members of the population<br />Bias if the list obtained follows a periodic or cyclic pattern<br />(D) QUOTA SAMPLING<br />(EXP)<br />QUOTACHOICE OF SAMPLE BASED ON OWN PREFERENCE<br />Divide the (members of the population) into different strata based on (age/ ethnic/ gender)<br />Find the proportion [%] among the strata <br />Calculate sample size for each stratum according to proportion [%] <br /><< % × n>><br />Select from each stratum based on own preference<br />(ADVANTAGES)<br />Lower cost<br />Information can be corrected easily<br />(DISADVANTAGES)<br />Non-random<br />Bias as interviewer may select those who are easiest to interview<br />](https://image.slidesharecdn.com/samplingmethods-110414033414-phpapp01/85/Sampling-methods-1-320.jpg)
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Sampling Methods Explained
- 1. SAMPLING METHODS<br />(A) RANDOM SAMPLING<br />(EXP) <br />List the (members of the population), say from 1 to (N)<br />And make a random selection of (n- sample)<br />(NOTE) Suitable for relatively small population and the sampling frame is complete and up-to-date.<br />(ADVANTAGES) <br />Truly random<br />Free from bias<br />(DISADVANTAGE)<br />Not able to get access to some members who have been chosen for the sample.<br />(B) STRATIFIED SAMPLING<br />(EXP) <br />Divide the (members of the population) into different strata based on (age/ ethnic/ gender)<br />Find the proportion [%] among the strata <br />Calculate sample size for each stratum according to proportion [%] <br /><< % × n>><br />Select from each stratum using random sampling<br />(ADVANTAGE)<br />Likely to give a good representative sample of the population<br />(DISADVANTAGES)<br />Can be expensive<br />Require precise and accurate information about population<br />(C) SYSTEMATIC SAMPLING<br />(EXP)<br />List the (members of the population)<br />Select every k = (population)/(sample) = (sampling interval)th (member from the list),<br />Select until obtain the required sample.<br />(ADVANTAGES)<br />Easier to conduct as compared to other types of sampling<br />Suitable for large samples<br />(DISADVANTAGES)<br />Not always possible to (line up/ obtain a list) of all the members of the population<br />Bias if the list obtained follows a periodic or cyclic pattern<br />(D) QUOTA SAMPLING<br />(EXP)<br />QUOTACHOICE OF SAMPLE BASED ON OWN PREFERENCE<br />Divide the (members of the population) into different strata based on (age/ ethnic/ gender)<br />Find the proportion [%] among the strata <br />Calculate sample size for each stratum according to proportion [%] <br /><< % × n>><br />Select from each stratum based on own preference<br />(ADVANTAGES)<br />Lower cost<br />Information can be corrected easily<br />(DISADVANTAGES)<br />Non-random<br />Bias as interviewer may select those who are easiest to interview<br />