quasi-random sampling - définition. Qu'est-ce que quasi-random sampling
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Qu'est-ce (qui) est quasi-random sampling - définition

PROCESS INVOLVING CHANCE USED IN RESEARCH FOR ALLOCATING EXPERIMENTAL SUBJECTS TO GROUPS
Random placement; Randomized assignment; Quasi-randomisation; Quasi-randomization

Pseudo-random number sampling         
GENERATING PSEUDO-RANDOM NUMBERS THAT FOLLOW A PROBABILITY DISTRIBUTION
Non-uniform random numbers; Pseudorandom number sampling; Pseudo random number sampling; Pseudo-random sampling; Pseudo random sampling; Random number sampling; Non-uniform pseudo-random variate generation; Pseudo-random number sampling
Pseudo-random number sampling or non-uniform pseudo-random variate generation is the numerical practice of generating pseudo-random numbers that are distributed according to a given probability distribution.
Non-uniform random variate generation         
GENERATING PSEUDO-RANDOM NUMBERS THAT FOLLOW A PROBABILITY DISTRIBUTION
Non-uniform random numbers; Pseudorandom number sampling; Pseudo random number sampling; Pseudo-random sampling; Pseudo random sampling; Random number sampling; Non-uniform pseudo-random variate generation; Pseudo-random number sampling
Non-uniform random variate generation or pseudo-random number sampling is the numerical practice of generating pseudo-random numbers (PRN) that follow a given probability distribution.
Snowball sampling         
NONPROBABILITY SAMPLING TECHNIQUE
Snowball sample; Respondent-driven sampling; Snowball method; Snowballed sample
In sociology and statistics research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling (accessed 8 May 2011).Snowball Sampling, Changing Minds.

Wikipédia

Random assignment

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. Random assignment of participants helps to ensure that any differences between and within the groups are not systematic at the outset of the experiment. Thus, any differences between groups recorded at the end of the experiment can be more confidently attributed to the experimental procedures or treatment.

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.

Mathematically, there are distinctions between randomization, pseudorandomization, and quasirandomization, as well as between random number generators and pseudorandom number generators. How much these differences matter in experiments (such as clinical trials) is a matter of trial design and statistical rigor, which affect evidence grading. 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.