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sampling techniques.pdf
This document discusses different sampling techniques that can be used in research. It defines key terms like population, sample, and statistic. It differentiates between probability sampling methods like simple random sampling, stratified random sampling, and cluster sampling which give all members of the population an equal chance of selection, and non-probability sampling methods like convenience sampling and purposive sampling where some members are given priority. The document also provides guidelines for determining sample size based on factors like population homogeneity and precision desired. It lists examples of population and sampling frames that could be used like universities, malls, and social media apps.
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sampling techniques.pdf
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- 2. Objectives ➢To differentiate thevarious methods of sampling and ➢To formulate the criteria for choosing respondents or subjects ➢To determine the sample population of a target population
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- 9. University of thePhilippines Polytechnic University of the Philippines Bulacan State University
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- 14. Population Composed of personsor objects that possess some common characteristics that are of interest to the researcher.
- 15. Target (Theoretical) Population Theentire group of people or objects to which the findings of the study generally apply.
- 16. Accessible (Study) population Thespecific population in a study.
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- 18. Who do youwant to generalize? What population can you access? How can you get access to them? Who is in your study? The theoretical population The study population The sampling frame The SAMPLE
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- 20. Grade 12 students in PNHS SHS studentsin Prenza SHS students in Bulacan
- 21. Parameter A numeric characteristicof a population.
- 22. Sample A subset ofthe entire population or a group of individuals that represents the population and serves as the respondents of the study.
- 23. Statistic A numeric characteristicof a sample.
- 25. Element A single memberof the sample.
- 26. Ways to determinethe sample size ➢Homegeneity of the population ➢Degree of precision desired by the researcher ➢Types of sampling procedure ➢The use of formulas: 1. Slovin. 2. Calmorin
- 27. Ways to determinethe sample size ➢Other considerations ➢Shot (1990) – as small as 30 ➢Equal to or less than 100 population will serve as sample size (universal sampling) ➢Acceptable for different types of research (Gay, 1976) ➢Descriptive – 10% - 20% may be required ➢Correlational – 30 subjects or respondents ➢Comparative – 15 subjects/group ➢Experimental – 15-30 subjects/group
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- 29. Probability Sampling A samplingprocedure that gives every element of the population a (known) nonzero chance of being selected in the sample is called probability sampling.
- 30. Non-Probability Sampling a processof selecting respondents in which the members of the entire population do not have an equal chance of being selected as samples. There are cases in which a sample is given priority instead of other members. Also called non-scientific sampling.
- 31. Simple Random All themembers of the population are given an equal chance to be selected as respondents. An unbiased way of selection as samples drawn by chance
- 34. Stratified Random The populationis first divided into different strata then the sampling follows.
- 37. Cluster Used in large-scalestudies in which the population is geographically spread out
- 39. Systematic A method ofselecting every nth element of the population. After the size of the sample has been determined, the selection of the sample follows.
- 42. Non-Probability Sampling a processof selecting respondents in which the members of the entire population do not have an equal chance of being selected as samples. There are cases in which a sample is given priority instead of other members. Also called non-scientific sampling.
- 43. Convenience Also called accidentalor incidental sampling. Samples are readily available.
- 44. Quota Similar to stratifiedsampling. The proportions of the various sub-groups in the population are determined and the sample is drawn to have the same percentage of it.
- 46. Purposive Sampling Also calledjudgmental sampling. Samples are handpicked based on the researcher’s judgment
- 48. Always find your happythought to fuel your day! ☺
- 49. Bibliography Cristobal, Amadeo Jr.P and dela-Cruz-Cristobal, Maura C. (2017). Practical Researh 2 for Senior High School. C & E. Publishing, Inc.: Quezon City https://stats.stackexchange.com/questions/87401/to-know-clearly-about-the- population