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3.5 Simple Random Sampling and Other Sampling Methods

Simple random sampling

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This article is a part of the guide:

How a Simple Random Sample Is Generated
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A few quality studies have been carried out over the years, starting in 1998 with a double-blind, placebo-controlled trial of 135 adults over 12 weeks published in The Journal of the American Medical Association.

They found no evidence that hydroxycitric acid, the active ingredient in weight loss products made from garcinia cambogia, produced significant weight loss. The American Journal of Clinical Nutrition in 2004 published a systematic review of meta-analyses and clinical trials on dietary supplements for weight loss by complementary medicine researchers at the Universities of Exeter and Plymouth.

None of the over-the-counter weight loss aids worked, including garcinia cambogia. Late in 2010 the peer-reviewed Journal of Obesity published a meta-analysis of studies testing the garcinia as a weight loss aid.

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Simple random sampling (also referred to as random sampling) is the purest and the most straightforward probability sampling strategy. It is also the most popular method for choosing a sample among population for a wide range of purposes.

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Advantages of Simple Random Sampling One of the best things about simple random sampling is the ease of assembling the sample. It is also considered as a fair way of selecting a sample from a given population since every member is given equal opportunities of being selected.

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Random sampling can be costly and time-consuming. However, this approach to gathering data for research does provide the best chance of putting together an unbiased sample that is truly representative of an entire group as a whole. random sampling and RANDOM ASSIGNMENT MADE EASY! Research Randomizer is a free resource for researchers and students in need of a quick way to generate random numbers or assign participants to experimental conditions.

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Simple random sampling is the most basic and common type of sampling method used in quantitative social science research and in scientific research generally. The main benefit of the simple random sample is that each member of the population has an equal chance of being chosen for the study. Random sampling is a critical element to the overall survey research design. This entry first addresses some terminological considerations. Second, it discusses two main components of random sampling: randomness and known probabilities of selection.