quasi$66093$ - traducción al Inglés
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quasi$66093$ - traducción al Inglés

EMPIRICAL INTERVENTIONAL STUDY USED TO ESTIMATE THE CAUSAL IMPACT OF AN INTERVENTION ON TARGET POPULATION WITHOUT RANDOM ASSIGNMENT
Quasi experiment; Design of quasi-experiments; Quasi-experiments; Quasi experimental design; Quasi-experimental design; Quasi Experiment; Quasi-natural experiment; Quasi-experimental; Quasi-experimental study; Quasi-experimental studies

quasi      
adj. quasi, zogenaamd
quasi-judicial         
PUBLIC OR PRIVATE NON-JUDICIAL BODY WHICH CAN INTERPRET LAW
Quasi-judicial; Quasi-judicial agency; Quasi-judicial bodies
zogenaamd gerechtelijk
implied contract         
FICTIONAL CONTRACT RECOGNISED BY A COURT
Implied contract; Implied in law contract; Implied-in-law contract; Quasi contract; Quasi-contract law; Implied Contract; Constructive contract
stilzwijgend aangenomen contract

Definición

Quasi
·- As if; as though; as it were; in a manner sense or degree; having some resemblance to; qualified;
- used as an adjective, or a prefix with a noun or an adjective; as, a quasi contract, an implied contract, an obligation which has arisen from some act, as if from a contract; a quasi corporation, a body that has some, but not all, of the peculiar attributes of a corporation; a quasi argument, that which resembles, or is used as, an argument; quasi historical, apparently historical, seeming to be historical.

Wikipedia

Quasi-experiment

A quasi-experiment is an empirical interventional study used to estimate the causal impact of an intervention on target population without random assignment. Quasi-experimental research shares similarities with the traditional experimental design or randomized controlled trial, but it specifically lacks the element of random assignment to treatment or control. Instead, quasi-experimental designs typically allow the researcher to control the assignment to the treatment condition, but using some criterion other than random assignment (e.g., an eligibility cutoff mark).

Quasi-experiments are subject to concerns regarding internal validity, because the treatment and control groups may not be comparable at baseline. In other words, it may not be possible to convincingly demonstrate a causal link between the treatment condition and observed outcomes. This is particularly true if there are confounding variables that cannot be controlled or accounted for.

With random assignment, study participants have the same chance of being assigned to the intervention group or the comparison group. As a result, differences between groups on both observed and unobserved characteristics would be due to chance, rather than to a systematic factor related to treatment (e.g., illness severity). Randomization itself does not guarantee that groups will be equivalent at baseline. Any change in characteristics post-intervention is likely attributable to the intervention.