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For the model-based methods, the sampling was based on either one or two balancing variables and stratification was not employed as a sampling tool.
The registry-based sampling was based on the city's population registries.
Random sampling was based on a simple one-stage procedure.
The sampling was based on response to the call made by the research nurse.
For standardization of the test, the sampling was based on stratified sampling and special group norms (see Kline [2000], pp52-58).
This may be attributed to the fact that sampling was based on a volunteering process and illiterate persons may have been discouraged to participate given that the study included a questionnaire and not a personal interview by a researcher.
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Average linkage hierarchical clustering of samples was based on one minus Pearson correlation as the dissimilarity metric.
Sampling is based on the Transitional Markov Chain Monte Carlo (TMCMC) algorithm and its variants.
The sampling is based on a vertical uniform random planar section.
Snowball sampling is based on the practice of asking participants to refer someone else to the survey, and so on.
Purposive sampling is based on knowledge of a population.
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