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- 1Simple RandomSamplingWhereevery other sample of size n has an equalchance of being selected.
- 2Advantages of simple random samplingIt'ssimple to do;it'sinexpensive; each individual is included only once
- 3Disadvantages of simple random samplingIt is notsuitable for large populations; it requires a sampling frame.
- 4Systematic SamplingWherepopulation membersareselected at regular intervalsfrom a list.
- 5Advantages of systematic samplingIt'seasy to do;it is suitable for large samples.
- 6Disadvantages of sustematic samplingIt is only random if thenumbersused arerandom;it can bebaised.
- 7StratifiedSamplingWherethepopulation is divided into groups (mutually exclusive). In each group a simple random sample is conducted.The sameproprtion from each stratum is taken as theproportion it makes up in thepopulation.
- 8Advantages of stratifiedsamplingIt can give more accurateestimates than simple random sampling whereclear strataexist; it reflects thepopulation structure.
- 9Disadvantages of stratifiedsamplingWithinthestrata, thedisadvantages of simple random sampling apply; if strataarenotclearly defined, they may overlap.
- 10Advantages of primary dataThe collection method is known; theaccuracy is known; theexactdata needed arecollected.
- 11Disadvantageof primary dataIt is costly in both time and efgort.
- 12Advantages of secondarydataCheap to obtain; largerquantity of information is available; much of thedata has been collectedover yearsand can be used to plot trends.
- 13Disadvantages of secondarydataBais may exist; it may be in a form that is difficult to deal with - eg requiring manual imputinto a spreadsheet
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- Fichas sobre Sin título, creado por Glenn Christmas el 04/03/2014.
- Creado por
- Glenn Christmas
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