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- 1. Sampling Procedure A.M.Somoray
- 2. Two General Types of Sampling:Probability sampling - is taking a sample from the population.• It ensures that there is a possibility for each person in a sample population to be selected
- 3. Types of Probability Sampling• Random Sampling – This is similar to lottery method that provides everyone in the population the equal chance to be picked as sample.• Systematic Sampling – This is used if a high density of a population is at stake.
- 4. • Stratified Random Sampling - dividing up the population into smaller groups, and randomly sampling from each group.• Cluster Sampling - is similar to stratified sampling because the population to be sampled is subdivided into mutually exclusive groups. However, in cluster sampling the groups are defined so as to maintain the heterogeneity of the population. Example: Female members of Baranggay San Isidro
- 5. Non-Probability Sampling• Non-probability sampling represents a group of sampling techniques that help researchers to select units from a population that they are interested in studying. Collectively, these units form the sample that the researcher studies
- 6. Types of Non-Probability SamplingNetwork sampling – “referral sampling” that stems from one or few identified samples who after being involved in the study will lead the researcher to other samples who possess the same attributes.“word of mouth" approach of acquiring participants.
- 7. • Accidental Sampling - A sampling by opportunity in which the researcher takes the respondents from those he meets unexpectedly.• Purposive Sampling – “Judgmental sampling”. A deliberate selection of individuals by the researcher based on predefined criteria
- 8. • Convenience Sampling – Selecting respondents in the easiest way. The respondents may be the nearest people, friends, relatives, accessible organization, available person.• Quota Sampling - A sampling method of gathering representative data from a group.
- 9. Determining the Sampling Size Slovin formula n = N 1+N(e)2Where:n=no.of sampleN= no. populatione = margin of error**The margin of error may be .01 to .05. But the lower the margin of error, the higher the accuracy of the result.
- 10. Activity:Let’s say, you want to get a sample population of all HRM students. 1st yr. – 440 2nd yr. – 400 3rd yr. – 330 4th yr – 275 Irregular – 100Margin or error is 3%

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