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A two-step stratified random sampling was employed to collect data.
Systematic sampling was employed to collect soil samples from upper 30 cm.
Multi-stage sampling was employed to select households to be included in the survey.
Hammersley sampling was employed to select from the prescribed range of values of individual input variables.
The Bayesian Regularization (BR) training method with full sampling was employed to train the network.
Simple random sampling was employed in the distribution of the questionnaires to the respondents.
Multi-stage sampling was employed to select lower-level sampling clusters: divisions, locations, sub-locations and villages.
Purposive sampling was employed to identify potential participants who possessed expertise in the design of interior textile products.
Another method based on location sampling was employed to survey migrants in China through pre-defined geographical locations identified through GPS data.
In three countries 'location sampling' was employed, while in two countries traditional methods were used with adaptations to reach the target population.
To achieve the study objectives, stratified cluster sampling was employed with the sample clustered into three groups comprising of students, educators, and employers in the industry.
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