Resumen
Sampling design for social studies have very specifics requirements, that are generally ignoredin the scarce bibliography about matter. The common assumption is that mathematical
statistical theory applied in the testing in industrial control quality, pharmacology, medical
therapy, etc. is adequate for social populations studies. The problem of the multivariation, the
bringing up to date of sampling frame, the variance estimation for sample sizing, in social
studies have exigencies no solved in the Sampling Theory. We confront the un-recognized
sampling paradoxes: the more used probabilistics samples make use of non aleatory
procedures for random selection of units; for estimate standard deviation needed to design a
probabilistic sample, you can use a non-probabilistic sample; you adapt the sample size
considering only one standard deviation of only one variable; however, you denominate
“probabilistic” the whole sample for all other variables and its interrelations.
Reviewing the principles of sampling – trying avoid to use mathematical formules- we
analyze the troubles for truly probabilistics designs, and, the basis of the validity of nonprobabilistic
procedures.
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