In this scenario, single-stage cluster sampling produces unbiased estimates because all groups are fully representative and interchangeable. However, when conditions are sufficiently different from the ideal case, the researchers need to consider using two-stage cluster sampling. Two-Stage Two-stage sampl...
Cluster sampling is a sampling technique used when "natural" groupings are evident in a statistical population. It is often used in marketing research. In this technique the total population is divided into these groups (or clusters) and a sample of the groups is selected. Then the...
Subsequently, by using simple or systematic sampling, the sophomore’s from each of these selected clusters can be chosen on whom to conduct the research study. In this sampling technique, researchers analyze a sample that consists of multiple sample parameters such as demographics, habits, back...
Auxiliary variable data (Auxiliary variable data is a useful tool in survey research because it improves the accuracy, precision, and effectiveness of survey sampling and estimating procedures. It also enhances the Cost-effectiveness, non-response adjustment, accuracy, and variance reduction.) and the...
Definition: Cluster Sampling involves the formation of suitable clusters of units. Thereafter, collecting information on all the units in that sample of clusters chosen for research, keeping in mind the appropriate sampling strategy. For this purpose, the whole population to be studied is divided int...
This is also a probability sampling technique with a possibility of high sampling error. This is brought by the limited clusters included in the sample leaving off a significant proportion of the population unsampled. Check out our quiz-page with tests about: Psychology 101 Science Flags and Co...
In another study, Naim et al. (2014) investigated a model-based clustering technique for high-dimension datasets. Its operation is divided into three stages: multi-modal splitting, iterative weighted sampling, and uni-modality preserving merging to measure the model-based clustering approach of ...
1.Paddy rice area estimation using astratified samplingmethod with remote sensing in China;基于分层抽样的中国水稻种植面积遥感调查方法研究 2.Improvedstratified samplingtechnique and performance research;改进型分层抽样技术及性能研究 3.Throughput measurement technique for high-speed network based onstratified sa...
Cluster algorithms are gaining in popularity in biomedical research due to their compelling ability to identify discrete subgroups in data, and their increasing accessibility in mainstream software. While guidelines exist for algorithm selection and outc
This research aimed to investigate the effects of cluster farming on the technical efficiency and food security of smallholder wheat farmers in Southeastern Ethiopia, utilizing primary data. A cross-sectional data approach was adopted, along with a multistage sampling technique, to select a total of ...