Significance of Sampling method
Sampling method refers to the various techniques utilized to select participants or collect samples for research. These methods include convenience sampling, random sampling, stratified sampling, and purposive sampling, each impacting the validity and generalizability of study findings. Additionally, the sampling method is crucial for obtaining representative results across diverse contexts, such as clinical studies, environmental analyses, and product safety assessments. By employing appropriate sampling strategies, researchers can ensure more accurate data collection and reliable outcomes in their studies.
Synonyms: Sampling technique, Sampling strategy, Sampling procedure, Selection process, Sample selection, Data collection method
The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.
The concept of Sampling method in scientific sources
The sampling method encompasses various techniques for selecting study participants, including purposive, random (lottery), convenience sampling, and a classification into probability and non-probability methods, tailored to specific research needs.
From: The Malaysian Journal of Medical Sciences
(1) This is the process of selecting participants or data, which needs to be clearly described in the articles being reviewed.[1] (2) This is the approach used to select a representative group from a larger population for the purpose of a study.[2] (3) This was a convenient snowball sampling method, where the survey was shared through the WhatsApp application to gather data from participants.[3] (4) This describes the reason for excluding a study by Jimenez et al., as it was unclear.[4] (5) This refers to the specific technique used to select a sample from a larger population for research purposes.[5]