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At the end of the experiment, the experimenter finds differences between the Experimental group and the Control group.Because each participant had an equal chance of being placed in any group, it is unlikely the differences could be attributable to some other preexisting attribute of the participant, e.g. Random assignment does not guarantee that the groups are matched or equivalent.
Studies done with pseudo- or quasirandomization are usually given nearly the same weight as those with true randomization but are viewed with a bit more caution.
Imagine an experiment in which the participants are not randomly assigned; perhaps the first 10 people to arrive are assigned to the Experimental Group, and the last 10 people to arrive are assigned to the Control group.
Peirce applied randomization in the Peirce-Jastrow experiment on weight perception. Peirce randomly assigned volunteers to a blinded, repeated-measures design to evaluate their ability to discriminate weights.
Peirce's experiment inspired other researchers in psychology and education, which developed a research tradition of randomized experiments in laboratories and specialized textbooks in the eighteen-hundreds.
Random assignment of participants to experimental conditions is a commonly used experimental technique to help ensure that the treatment group and the control group are the same before treatment.
Homework Kindergarten - Random Assignment In Psychology
For example, let us assume that we're curious to know the effects of eating an apple a day on your health (measured by blood pressure).Random assignment, blinding, and controlling are key aspects of the design of experiments, because they help ensure that the results are not spurious or deceptive via confounding.This is why randomized controlled trials are vital in clinical research, especially ones that can be double-blinded and placebo-controlled.Random assignment or random placement is an experimental technique for assigning human participants or animal subjects to different groups in an experiment (e.g., a treatment group versus a control group) using randomization, such as by a chance procedure (e.g., flipping a coin) or a random number generator.This ensures that each participant or subject has an equal chance of being placed in any group.To express this same idea statistically - If a randomly assigned group is compared to the mean it may be discovered that they differ, even though they were assigned from the same group.If a test of statistical significance is applied to randomly assigned groups to test the difference between sample means against the null hypothesis that they are equal to the same population mean (i.e., population mean of differences = 0), given the probability distribution, the null hypothesis will sometimes be "rejected," that is, deemed not plausible.Randomization was emphasized in the theory of statistical inference of Charles S.Peirce in "Illustrations of the Logic of Science" (1877–1878) and "A Theory of Probable Inference" (1883).If the coin lands heads-up, the participant is assigned to the Experimental Group.If the coin lands tails-up, the participant is assigned to the Control Group.