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  2. Moderation (statistics) - Wikipedia

    en.wikipedia.org/wiki/Moderation_(statistics)

    The third variable is referred to as the moderator variable (or effect modifier) or simply the moderator (or modifier). [1] [2] The effect of a moderating variable is characterized statistically as an interaction; [1] that is, a categorical (e.g., sex, ethnicity, class) or continuous (e.g., age, level of reward) variable that is associated with ...

  3. Mendelian randomization - Wikipedia

    en.wikipedia.org/wiki/Mendelian_randomization

    The Mendelian randomization method depends on two principles derived from the original work by Gregor Mendel on genetic inheritance. Its foundation come from Mendel’s laws namely 1) the law of segregation in which there is complete segregation of the two allelomorphs in equal number of germ-cells of a heterozygote and 2) separate pairs of allelomorphs segregate independently of one another ...

  4. Confounding - Wikipedia

    en.wikipedia.org/wiki/Confounding

    An operational confounding can occur in both experimental and non-experimental research designs. This type of confounding occurs when a measure designed to assess a particular construct inadvertently measures something else as well. [20] A procedural confounding can occur in a laboratory experiment or a quasi-experiment. This type of confound ...

  5. Manipulation check - Wikipedia

    en.wikipedia.org/wiki/Manipulation_check

    When a manipulation creates significant differences between experimental conditions in both (1) the dependent variable and (2) the measured manipulation check variable, the interpretation is that (1) the manipulation "causes" variation in the dependent variable (the "effect") and (2) the manipulation also explains variation in some other, more ...

  6. Interaction (statistics) - Wikipedia

    en.wikipedia.org/wiki/Interaction_(statistics)

    Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).

  7. 2 Reasons You Should Buy a New Car Instead of a Used ... - AOL

    www.aol.com/finance/2-reasons-buy-car-instead...

    Find Out: 2 Reasons New Car Prices Will Crash in 2025. Read Next: 9 Things You Must Do To Grow Your Wealth in 2025. Here’s a closer look at the reasons you should consider buying a new car in 2025.

  8. Defense secretary nominee Pete Hegseth's confirmation hearing ...

    www.aol.com/defense-secretary-nominee-pete...

    Watch Pete Hegseth's confirmation hearing. The hearing is expected to begin Tuesday at 9:30 a.m. ET, according to the Armed Services Committee website, which says it will have a live video.

  9. Controlling for a variable - Wikipedia

    en.wikipedia.org/wiki/Controlling_for_a_variable

    In other cases, controlling for a non-confounding variable may cause underestimation of the true causal effect of the explanatory variables on an outcome (e.g. when controlling for a mediator or its descendant). [2] [3] Counterfactual reasoning mitigates the influence of confounders without this drawback. [3]