Hello,
I would like to ask the better choice for sampling a finite population on an area (both large enough, such as households in a political unit). I have seen some published papers and books (e.g. "Sampling Spatial Units for Agricultural Surveys") but I'm still aware of spatial dependence problem.
Any tip?
Thanks!
To add, you may read this too.
Cheers!
http://www.lreis.ac.cn/upload/article/wjf_sampling%20review121015.pdf
Hello Pavanelli
1.Research studies are usually carried out on sample of subjects rather than whole populations. The most challenging aspect of fieldwork is drawing a random sample from the target population to which the results of the study would be generalized.
2.The key to a good sample is that it has to be typical of the population from which it is drawn. When the information from a sample is not typical of that in the population in a systematic way, we say that error has occurred. In actual practice, the task is so difficult that several types of errors, i.e. sampling error, non-sampling error, Response error, Processing error,… In addition, the most important error is the Sampling error, which is statistically defined as the error caused by observing a sample instead of the whole population. The underlying principle that must be followed if we are to have any hope of making inferences from a sample to a population is that the sample be representative of that population.
3.A key way of achieving this is through the use of “randomization”. There several types of random samples, Some of which are: Simple Random Sampling, Stratified Random Sampling, Double-stage Random Sampling... Moreover, the most important sample is the simple random sample which is a sample selected in such a way that every possible sample of the same size is equally likely to be chosen. In order to reduce the sampling error, the simple random sample technique and a large sample size have to be developed.
4. The above sampling methods are well-known and accurate, but choosing the best sampling method should be based on your problem, which should be related to a specific and different population.
5. Please refer to:
William G. Cochran (1977). Sampling techniques.Wiley.
William G. Cochran, Gertrude M. Cox (1977). Experimental Design, Wiley.
Snedecor, W.G. and Cochran,W.G. (1989). Statistical Methods, Blackwell.
Geoffrey Keppel and Thomas D. Wickens (2004). Design and Analysis: A Researcher's Handbook (4th Edition). International Edition.
Regards,
Zuhair
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