Significance of Random sampling method
The random sampling method is a statistical technique used to select participants in a study, ensuring that every individual has an equal chance of being included. This method is vital for achieving a representative sample and reducing bias in research. It is applied in various contexts, such as selecting patients for clinical studies or participants for social research, facilitating unbiased results and enhancing the reliability and validity of the findings. Overall, the random sampling method is crucial for producing credible and generalizable research outcomes.
Synonyms: Random selection, Random sampling technique, Probability sampling, Simple random sampling
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The concept of Random sampling method in scientific sources
The Random sampling method is a bias-free technique crucial for selecting patients, ensuring equal selection chances for a study evaluating Upavasa plus Pachana effects across two distinct groups.
From: The Malaysian Journal of Medical Sciences
(1) This is a technique for selecting participants from a larger group, ensuring each has an equal chance of being chosen.[1] (2) A technique used to select participants for a study in a way that ensures every individual has an equal chance of being chosen.[2] (3) A method for selecting participants where each individual has a known chance of being included, aimed at producing a representative sample.[3] (4) A technique used to select participants randomly from a population to ensure that each individual has an equal chance of selection, enhancing the study's reliability.[4]
From: Journal of Public Health in Africa
(1) This method was used to select 84 respondents aged ≥45 years old who registered at the Integrated Health Service Post for the Elderly, ensuring a representative sample.[5]