Перевод и анализ слов искусственным интеллектом ChatGPT
На этой странице Вы можете получить подробный анализ слова или словосочетания, произведенный с помощью лучшей на сегодняшний день технологии искусственного интеллекта:
- как употребляется слово
- частота употребления
- используется оно чаще в устной или письменной речи
- варианты перевода слова
- примеры употребления (несколько фраз с переводом)
- этимология
quasi-absence - перевод на Английский
Ex: No direct effect of personnel on loans was fount at the primary level, and a quasi-absence of such effect at the secondary level.
Ex: When the cataloguer turns to the description of a piece of music a common problem will be the absence of a title page to be used as the chief source of information.
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* fill in + in + Posesivo + absence = sustituir a Alguien en su ausencia
* in the absence of = a falta de, sin contar con, sin tener, sin disponer de, no habiendo
* leave of absence = excedencia en el trabajo, permiso
* take + a leave of absence = tomarse unos días de permiso
* quasi-absence = casi ausencia
* sickness absence = ausencia por enfermedad
Википедия
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.
