Sampling Design. The study design relied on probabilistic sample design for selection of households so as to ensure that every single household in the settlement area has a known and non-zero chance being selected into the survey sample. For the household survey, it is quite common to use circular systematic sampling (Systematic sampling is a probability sample selection method in which the sample is obtained by selecting every kth element of the population, where k=N/n, N is population and n is the sample size). The first sampling unit is selected randomly within the first k units of the list. This method for selection of households and the same has been followed in the present study.
Sampling Design. An appropriate and defensible sampling design should be used as the basis for data collection for use in compliance decisions. The choice of a sampling design depends on several factors including but not limited to, the decision to be made with the data, frequency of dredging, historical or known location of shoaling, historical or known volumes of materials dredged, and cost of sampling and analysis. Chapter 8 of both the Green Book and ITM, should be used for detailed guidance for developing the sampling strategy, however, the guidance provided in the ITM is more technically advanced and should be used as reference for preparing a sampling strategy. Plumb (1981) provides additional guidance on sample design. When possible, a survey of the proposed dredging project should be conducted prior to initiation of the contracting process to obtain pertinent information on shoaling volumes and locations. When it is not possible to conduct a survey in adequate time, the best option will be to design a sampling approach based on estimated volumes and to collect a range of samples from areas of historical shoaling. Through design optimization, the sampling effort can be distributed spatially in such a way as to maximize the amount of information obtained within the area to be sampled. Many dredging projects can be subdivided into project segments (horizontal and/or vertical) which can be treated as separate management units or dredged material management units. Each project segment is an area expected to have relatively consistent characteristics that differ substantially from the characteristics of adjacent segments. It is recommended that this approach be used whenever possible in developing a sampling design for a specific project. Section 8 of both the Green Book and ITM provide additional guidance on the subdivision of the dredging area, however, the guidance provided in the ITM is more technically advanced and should be used as reference for subdivision of the dredging area. The method of dredging, volume of material to be dredged, areal extent of the dredging project, the horizontal and vertical heterogeneity of the sediment, and proximity to known sources of contamination are key to determining station locations and the number of samples to be collected for the total dredging operation and for each project segment or dredged material management unit. Section 8 of both the Green Book and ITM provide additional guidance on selection of sampling locations and n...
Sampling Design. The sample type was a purposive sample which were recorded previously and diagnosed according to the current diagnostic criteria for pelvic organs tumor enrolled in (MoH) from three Medical complex centers (AL Shifa, Rantisi specialist of pediatric hospital and EGH) in Gaza strip, numbering 120 patient from the date of the beginning of electronic archiving in MoH (May 2017) to beginning study data (March 2019).
Sampling Design. To begin monitoring effects of treatments, one 96 ft by 96 ft (0.212 acre) test plot within each field was selected. The two test plots, North and South, were each divided into sixteen, 24 ft by 24 ft (0.013 acre) subplots (see photo) to test four iterations of each of the treatments. In addition to the control, treatments for the North and South test plots were: biochar only, compost only, and a biochar and compost mix (mix). The recommended methods in “A Guide to Conducting Biochar Trials” by the International Biochar Initiative (pages 7-14) were used to design the layout of the subplots, and randomize the assignment of treatments to subplots (Major, 2009). Refer to Appendix 1 for the coordinates of the test Aerial image of Cabrillo Farms. The South and North plots are indicated as Plots 1 and 2 respectively. Each plot is 9,216 sq-ft, or 0.212 acre. plots, and the randomization values used to assign treatments to subplots. Table 2 indicates which treatments were assigned to the North and South subplots.
Sampling Design. The following provides an overview of the sampling effort that will be conducted. Detailed information on sampling procedures and methods are presented in Section B2. Sampling will begin with the collection of one tree bark composite sample from the sample location. A total of fifty tree bark composite samples will be collected. Following bark collection, one duff composite sample will be collected near each tree that was sampled for tree bark. A total of fifty duff composite samples will be collected. The requirements for field QC sample collection are discussed in Section B5.1.
Sampling Design. The population of this study was drawn from banking executives in South Africa. The unit of analysis is based on the organisations these executives work for, this includes the Big 6 banks in South Africa (Absa, Capitec, FNB, Nedbank, Standard Bank, Investec) and Fintech companies. The executives chosen were individuals with a specific knowledge or understanding of either the risks banks face and or innovation. The type of sampling being used was non-probability sampling; in particular, purposive sampling. These sampling methods were used because they were subjective, and the members selected conform to predetermined criteria where participants are deliberately chosen by the researcher (banking and Fintech executives).
Sampling Design. Sampling can be simply defined as selecting the segment of the population for investigation, it is a process of selecting a sample of units from a data set, so a researcher can measure the beliefs, characteristics and attitudes of these people, and use these to generalise similar beliefs and characteristics of a broader group.
Sampling Design. A Generalized Random-Tessellation Sampling (GRTS) survey design was recommended by Xxxxxxxx and Xxxxxx (2009) for monitoring habitat status and trend in the Columbia River Basin. The GRTS design was initially developed under the EPA’s Environmental Monitoring and Assessment Program and is a probabilistic sampling design that has been shown to be advantageous for generating habitat condition parameters with known statistical characteristics. The CHaMP monitoring design follows a GRTS design with a 3 year rotating 1-to-1 split panel structure to distribute sampling effort in space and time, and has management tools for sampling design.
