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ADAPTIVE SAMPLING WITH MOBILE WSNbyKOUSHIL SREENATHPresented to the Faculty of the Graduate School of The University of Texas at Arlington in Partial Fulfillment of the Requirements for the Degree
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01
Identify the target population for your research.
02
Determine the key characteristics that may influence sampling (e.g., location, demographics).
03
Decide on the initial sampling method (e.g., random, stratified) to start data collection.
04
Collect initial data and analyze to identify patterns or trends.
05
Define adaptive criteria that will guide the modification of your sampling approach based on initial findings.
06
Implement changes to the sampling strategy based on analysis, like adjusting sample sizes or focusing on specific subgroups.
07
Continue to collect data, making ongoing adjustments as needed throughout the research process.
08
Document all changes and the rationale behind them for transparency and reproducibility.

Who needs adaptive sampling in research?

01
Researchers conducting studies in heterogeneous populations.
02
Environmental scientists studying spatially variable phenomena.
03
Market researchers exploring diverse consumer behaviors.
04
Public health officials assessing disease spread in varying communities.
05
Social scientists investigating complex social issues.
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Adaptive sampling is a statistical technique that allows researchers to change their sampling strategy based on the data collected as the study progresses. This method is particularly useful when dealing with heterogeneous populations or when the data is sparse in certain areas.
Researchers conducting studies that involve adaptive sampling designs are required to file. This typically includes academic institutions, private research firms, and any organization that conducts experiments or observational studies using this method.
Filling out adaptive sampling in research involves documenting your sampling design, methods for data collection, criteria for adaptation, and any statistical analysis plan. It may also require submitting forms specific to the ethical review board or regulatory body overseeing the research.
The purpose of adaptive sampling is to improve the efficiency and effectiveness of data collection by allowing researchers to modify their sampling methods in response to the information they gather, thus enhancing the overall quality and relevance of their findings.
Researchers must report the goals of the study, the adaptive sampling design employed, justification for the chosen methods, results achieved, and any deviations from the original sampling plan along with reasons for those changes.
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