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💬 프롬프트 라이브러리 📖 AI 용어 사전 🔗 유용한 링크

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Mediating variable

An intermediate variable that transmits the effect of an independent variable to a dependent variable, explaining the underlying causal process.

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Baron-Kenny method

A classic four-step approach to test mediation, although now superseded by more robust methods like bootstrapping.

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Bootstrapping in mediation

A non-parametric resampling technique to estimate confidence intervals for indirect effects, particularly useful for small samples.

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Moderated mediation

A model where the mediation effect varies depending on the levels of a moderator variable, introducing a complex interaction between mediation and moderation.

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Proportion mediation effect

The ratio of the indirect effect to the total effect, indicating the proportion of the total effect that is mediated by the intermediate variable.

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Mediation criteria

A set of statistical and theoretical conditions that must be satisfied to establish the presence of a valid mediation effect.

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Simple mediation model

A basic structure involving an independent variable, a single mediating variable, and a dependent variable to analyze a single causal mechanism.

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Multiple mediation model

Analysis involving multiple simultaneous mediators, which can be parallel or serial, to capture complex causal mechanisms.

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Sobel Test

Classical statistical test to assess the significance of the indirect effect, based on the normal approximation of the product of mediation coefficients.

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Counterfactual Causal Mediation

Theoretical framework using the language of counterfactual potentials to rigorously define and estimate mediation effects.

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