Subjects were selected at random with equal probabilities of selection using the Tasmanian Electoral Roll as the sampling frame.
Survey designs typically specify that individuals are to be sampled with unequal probabilities of selection.
Under simple random sampling, standard methods of analysis of data apply, but data are often collected from complex surveys involving clustering, stratification and unequal probabilities of selection.
To take care of the non-equal probabilities of selection in different domains, a design weight was applied.
The PISA sampling design consists of unequal probabilities of selection at any level of the multistage sampling.
For monitoring purposes proportional allocation proves most feasible, because changes in stratum assignments over time do not affect the probabilities of selection, thus complicating estimation [29, 30].
Strings with higher fitness have higher probabilities of selection so that those with higher fitness produce more offspring's than those with lower fitness in the next generation [14].
All results were weighted (weight = 1/probability of selection) to account for unequal probabilities of selection of clusters across District.
All results were weighted (weight = 1/probability of selection) to account for unequal probabilities of selection of clusters across livelihood zones.
To address issues of unequal probabilities of selection and modification for missing responses, appropriate weight variables (i.e., wtmec2yr, sdmvstra, and sdmvpsu) were used in all statistical analyses.
Data were weighted to account for unequal probabilities of selection.
