A continuación encontrará el indice de contenidos del volumen 3(1), junto a los enlaces de los artículos y sus resumenes.
ABSTRACT.
Sampling design for social studies have very specifics requirements, that are generally ignored in 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 non-probabilistic procedures.
Key words: Sampling Theory, Sample Sizing, Statistical Methods, Social Research.
ABSTRACT.
Even though the importance of the sampling within scientific procedure for the knowledge
generation has is recognized, professionals of the social and human sciences, customarily neglect
the extraction phase to a sample. In the present work we concerns very especially to accomplish
an attention call on the transcendency of this problems; at the same time, we will indicate
possible causes and some of the consequences derived. Moreover, it presents help system
software SOTAM, with the objetive to improve the samples quality.
Key words: Sampling.
ABSTRACT.
The recent applications of the stereology in the neurocience has permitted to accomplish unbiased estimates of numerous
morphologic parameters of the Nervous System. This work intends to analyze the precision of the stereological estimations
in two psicobiological studies: numerical and volumetric quantifications of nervous cells applying two stereological
techniques: the optical fractionator and the Cavalieri´s principle. The precision of these estimates depends on two sources
on variation: the biological variation (intrinsic to the object of study) and the stereological (caused by the employed
techniques). In the text is discussed how to optimize the efficiency of the estimates attending to these two sources of
variation.
Key words: Optical fractionator, Cavalieri, quantitication.