In other words, when the total number of people characterized by each variable (or stratum) oscillates within the population, to the researcher would choose the size of each sample for each stratum according to the research requirements. Such a choice is prejudiced by the probability of obtaining an adequate number of sampling units from each stratum within the final sample. As a rule, disproportionate stratified samples are used either to compare two or more particular strata or to analyze one stratum intensively (Creswell, 1994). Therefore, when researchers use a disproportionate stratified sample, we have to weight the estimates of the population's parameters by the number of units belonging to each stratum. In this sample, weighting strategies were not performed in the original data.

Once researchers have defined the population of interest, they draw a sample that adequately represents that population. The actual procedure involves selecting a sample from a sampling...
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